Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
10/26/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
10/26/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge seeks a Product Designer to join our Experience Design team supporting our Aviation Tech team and the continued development and expansion of AIRES, our aviation readiness capability. In this role, you will create high-fidelity UI prototypes in Figma, help maintain and extend our design system, and translate research findings, operational workflows, and technical requirements into clear, production-ready product experiences. You will work as part of a small product design team, collaborating closely with a senior product designer who will provide day-to-day direction, design critique, and mentorship. You will also work with UX researchers, engineers, data teams, product stakeholders, and aviation subject-matter experts. Ideal candidates are strong UI craftspeople who understand how design systems work in practice, are comfortable designing complex data-rich interfaces, are eager to learn, and thrive on clear direction and regular feedback. Over time, this role is expected to grow from executing defined design work to taking greater ownership of product workflows and features. Design Patterns and Architectural Context In data and software engineering, a design pattern is a battle-tested blueprint for solving a recurring problem. It is not a specific piece of code, but a standardized mental model that allows teams to skip the trial-and-error phase of architecture. SteerBridge applies proven patterns such as Medallion Architecture to structure, validate, and operationalize data within mission-critical aviation analytics platforms. Product designers work within this architectural context to translate complex data, workflows, and system behavior into clear, usable, and decision-ready experiences for operators working in high-consequence environments. Primary Mission Area The platform supports aviation readiness and sustainment operations including: Fleet readiness monitoring Maintenance planning Supply chain coordination Logistics forecasting Operational planning support Primary users include aviation maintainers, logisticians, planners, and senior decision-makers operating under time pressure and incomplete information. The work involves complex, data-rich interfaces that help users understand aircraft status, maintenance requirements, supply constraints, readiness risk, and potential courses of action. Key Responsibilities Design high-fidelity prototypes and production-ready interfaces in Figma, translating wireframes, user flows, UX research, operational requirements, and technical constraints into polished product experiences. Design complex, data-driven workflows and interfaces supporting aviation readiness, maintenance, logistics, and operational planning. Partner with UX researchers and aviation subject-matter experts to translate validated user needs, research findings, and operational workflows into wireframes, interaction models, prototypes, and product designs. Support and maintain the team's design system by applying established components, tokens, visual standards, and interaction patterns consistently and identifying opportunities for new or improved patterns. Collaborate with engineers, product stakeholders, researchers, and data teams to evaluate design feasibility, refine solutions, and iterate based on usability testing, stakeholder feedback, technical constraints, and evolving requirements. Prepare detailed design handoffs, including states, edge cases, interactions, and expected behaviors, and perform design QA to ensure implemented features align with Figma specifications. Manage multiple design tasks and Jira tickets across sprints, working within established priorities, estimating work, tracking progress, and proactively communicating blockers. Participate in design reviews and critiques, incorporate feedback into subsequent iterations, and clearly communicate design rationale to technical and non-technical stakeholders. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain a Secret security clearance as required for the role. Bachelor's degree in Design, Human-Computer Interaction, or a related field, or equivalent relevant professional experience. 2-4 years of professional experience in UI or product design; exceptional early-career candidates with strong portfolios will also be considered. Portfolio demonstrating strong UI design skills, design system experience, and the ability to organize complex information and design multi-step user workflows. Strong proficiency in Figma, including components, variants, auto layout, and interactive prototyping, with experience translating wireframes, workflows, and requirements into high-fidelity, developer-ready designs. Strong understanding of design systems and foundational UI principles, including components, tokens, patterns, typography, visual hierarchy, layout, spacing, and color. Working knowledge of Section 508 and WCAG accessibility standards and their application to user interface design. Strong communication and collaboration skills, including the ability to present and explain design decisions, constraints, and tradeoffs; receive and incorporate feedback and mentorship; and manage assigned work using Jira or similar Agile tools. Preferred Qualifications Experience designing data-rich applications, dashboards, enterprise software, decision-support tools, or other complex interfaces that present system states, dependencies, alerts, operational status, or similar information clearly and effectively. Working knowledge of UX principles, including usability heuristics, information architecture, and interaction design, with the ability to identify potential usability concerns within complex user workflows. Working knowledge of HTML/CSS and experience collaborating with engineers to understand implementation feasibility and technical constraints. Experience contributing to design systems or component libraries and working within Agile/Scrum environments, including sprint planning, backlog refinement, and retrospectives. Experience with rapid prototyping, motion, or interaction design techniques to communicate product concepts and interactions beyond static screens, including AI-assisted tools such as Claude, ChatGPT/Codex, or comparable platforms. Experience supporting DoD, federal, aviation, logistics, fleet management, or other government or mission-critical programs. The Teams Behind the Technology Aviation analytics platforms succeed when multidisciplinary teams design, build, secure, and refine them with operational intent. SteerBridge's aviation technology organization brings together software developers, data architects, data scientists, product and UI/UX designers, UX researchers, and aviation subject-matter experts. Product designers work across these disciplines to translate complex operational requirements, user research, and data into intuitive product experiences. This collaboration is especially important in environments where time pressure, operational risk, and accountability matter. Tools and Artifacts Figma Jira AI-assisted design, prototyping, and development tools such as Claude, ChatGPT/Codex, or comparable platforms Microsoft Office and collaboration tools What Success Looks Like Designs accurately reflect validated user workflows and operational requirements while making complex aviation data clear and actionable. Figma prototypes and design documentation provide engineers with clear, implementation-ready specifications and minimize ambiguity during development. New features consistently apply and strengthen the AIRES design system, with design QA identifying implementation issues before they negatively affect the user experience. Product decisions effectively balance user research, technical constraints, aviation domain expertise, and operational needs. The designer collaborates effectively across design, engineering, research, and product teams while progressing from executing defined work to owning increasingly complex workflows and product features. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills . click apply for full job details
10/26/2026
Full time
Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge seeks a Product Designer to join our Experience Design team supporting our Aviation Tech team and the continued development and expansion of AIRES, our aviation readiness capability. In this role, you will create high-fidelity UI prototypes in Figma, help maintain and extend our design system, and translate research findings, operational workflows, and technical requirements into clear, production-ready product experiences. You will work as part of a small product design team, collaborating closely with a senior product designer who will provide day-to-day direction, design critique, and mentorship. You will also work with UX researchers, engineers, data teams, product stakeholders, and aviation subject-matter experts. Ideal candidates are strong UI craftspeople who understand how design systems work in practice, are comfortable designing complex data-rich interfaces, are eager to learn, and thrive on clear direction and regular feedback. Over time, this role is expected to grow from executing defined design work to taking greater ownership of product workflows and features. Design Patterns and Architectural Context In data and software engineering, a design pattern is a battle-tested blueprint for solving a recurring problem. It is not a specific piece of code, but a standardized mental model that allows teams to skip the trial-and-error phase of architecture. SteerBridge applies proven patterns such as Medallion Architecture to structure, validate, and operationalize data within mission-critical aviation analytics platforms. Product designers work within this architectural context to translate complex data, workflows, and system behavior into clear, usable, and decision-ready experiences for operators working in high-consequence environments. Primary Mission Area The platform supports aviation readiness and sustainment operations including: Fleet readiness monitoring Maintenance planning Supply chain coordination Logistics forecasting Operational planning support Primary users include aviation maintainers, logisticians, planners, and senior decision-makers operating under time pressure and incomplete information. The work involves complex, data-rich interfaces that help users understand aircraft status, maintenance requirements, supply constraints, readiness risk, and potential courses of action. Key Responsibilities Design high-fidelity prototypes and production-ready interfaces in Figma, translating wireframes, user flows, UX research, operational requirements, and technical constraints into polished product experiences. Design complex, data-driven workflows and interfaces supporting aviation readiness, maintenance, logistics, and operational planning. Partner with UX researchers and aviation subject-matter experts to translate validated user needs, research findings, and operational workflows into wireframes, interaction models, prototypes, and product designs. Support and maintain the team's design system by applying established components, tokens, visual standards, and interaction patterns consistently and identifying opportunities for new or improved patterns. Collaborate with engineers, product stakeholders, researchers, and data teams to evaluate design feasibility, refine solutions, and iterate based on usability testing, stakeholder feedback, technical constraints, and evolving requirements. Prepare detailed design handoffs, including states, edge cases, interactions, and expected behaviors, and perform design QA to ensure implemented features align with Figma specifications. Manage multiple design tasks and Jira tickets across sprints, working within established priorities, estimating work, tracking progress, and proactively communicating blockers. Participate in design reviews and critiques, incorporate feedback into subsequent iterations, and clearly communicate design rationale to technical and non-technical stakeholders. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain a Secret security clearance as required for the role. Bachelor's degree in Design, Human-Computer Interaction, or a related field, or equivalent relevant professional experience. 2-4 years of professional experience in UI or product design; exceptional early-career candidates with strong portfolios will also be considered. Portfolio demonstrating strong UI design skills, design system experience, and the ability to organize complex information and design multi-step user workflows. Strong proficiency in Figma, including components, variants, auto layout, and interactive prototyping, with experience translating wireframes, workflows, and requirements into high-fidelity, developer-ready designs. Strong understanding of design systems and foundational UI principles, including components, tokens, patterns, typography, visual hierarchy, layout, spacing, and color. Working knowledge of Section 508 and WCAG accessibility standards and their application to user interface design. Strong communication and collaboration skills, including the ability to present and explain design decisions, constraints, and tradeoffs; receive and incorporate feedback and mentorship; and manage assigned work using Jira or similar Agile tools. Preferred Qualifications Experience designing data-rich applications, dashboards, enterprise software, decision-support tools, or other complex interfaces that present system states, dependencies, alerts, operational status, or similar information clearly and effectively. Working knowledge of UX principles, including usability heuristics, information architecture, and interaction design, with the ability to identify potential usability concerns within complex user workflows. Working knowledge of HTML/CSS and experience collaborating with engineers to understand implementation feasibility and technical constraints. Experience contributing to design systems or component libraries and working within Agile/Scrum environments, including sprint planning, backlog refinement, and retrospectives. Experience with rapid prototyping, motion, or interaction design techniques to communicate product concepts and interactions beyond static screens, including AI-assisted tools such as Claude, ChatGPT/Codex, or comparable platforms. Experience supporting DoD, federal, aviation, logistics, fleet management, or other government or mission-critical programs. The Teams Behind the Technology Aviation analytics platforms succeed when multidisciplinary teams design, build, secure, and refine them with operational intent. SteerBridge's aviation technology organization brings together software developers, data architects, data scientists, product and UI/UX designers, UX researchers, and aviation subject-matter experts. Product designers work across these disciplines to translate complex operational requirements, user research, and data into intuitive product experiences. This collaboration is especially important in environments where time pressure, operational risk, and accountability matter. Tools and Artifacts Figma Jira AI-assisted design, prototyping, and development tools such as Claude, ChatGPT/Codex, or comparable platforms Microsoft Office and collaboration tools What Success Looks Like Designs accurately reflect validated user workflows and operational requirements while making complex aviation data clear and actionable. Figma prototypes and design documentation provide engineers with clear, implementation-ready specifications and minimize ambiguity during development. New features consistently apply and strengthen the AIRES design system, with design QA identifying implementation issues before they negatively affect the user experience. Product decisions effectively balance user research, technical constraints, aviation domain expertise, and operational needs. The designer collaborates effectively across design, engineering, research, and product teams while progressing from executing defined work to owning increasingly complex workflows and product features. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills . click apply for full job details
Job Description Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life-from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group-57,000+ engineers in 30 countries-we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. We are seeking an experienced Data Architect who can design and support scalable enterprise data solutions, including data flows, system integrations, data lakes, and centralized repositories. The ideal candidate has a strong background in data architecture, data management, and modern data platforms, with the ability to collaborate effectively across business and technical teams to ensure seamless data exchange and alignment with organizational goals. This individual will be responsible for documenting data models and architecture decisions, identifying opportunities to improve data accessibility and quality, and helping establish best practices for data governance, lifecycle management, and overall data strategy. Responsibilities: Define and support data architecture strategies across enterprise applications. Design data flows and integrations between business systems and applications. Support the development and evolution of data lakes and central data repositories. Collaborate with application, business, and technology teams to ensure effective data exchange. Document data models, architecture decisions, and integration patterns. Identify opportunities to improve data accessibility, quality, and usage across the organization. Qualifications: Strong experience in data architecture, data management, and enterprise data solutions. Experience designing data flows, application integrations, and functional interfaces between systems. Knowledge of data lakes, centralized repositories, and modern data platforms. Experience supporting data governance, data quality, and data lifecycle management is a strong plus. Ability to collaborate with business and technical teams to define scalable data solutions. The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience Due to the potential for involvement with U.S. aerospace programs and export-controlled environments, candidates who qualify as U.S. Persons are preferred. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.
10/26/2026
Full time
Job Description Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life-from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group-57,000+ engineers in 30 countries-we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. We are seeking an experienced Data Architect who can design and support scalable enterprise data solutions, including data flows, system integrations, data lakes, and centralized repositories. The ideal candidate has a strong background in data architecture, data management, and modern data platforms, with the ability to collaborate effectively across business and technical teams to ensure seamless data exchange and alignment with organizational goals. This individual will be responsible for documenting data models and architecture decisions, identifying opportunities to improve data accessibility and quality, and helping establish best practices for data governance, lifecycle management, and overall data strategy. Responsibilities: Define and support data architecture strategies across enterprise applications. Design data flows and integrations between business systems and applications. Support the development and evolution of data lakes and central data repositories. Collaborate with application, business, and technology teams to ensure effective data exchange. Document data models, architecture decisions, and integration patterns. Identify opportunities to improve data accessibility, quality, and usage across the organization. Qualifications: Strong experience in data architecture, data management, and enterprise data solutions. Experience designing data flows, application integrations, and functional interfaces between systems. Knowledge of data lakes, centralized repositories, and modern data platforms. Experience supporting data governance, data quality, and data lifecycle management is a strong plus. Ability to collaborate with business and technical teams to define scalable data solutions. The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience Due to the potential for involvement with U.S. aerospace programs and export-controlled environments, candidates who qualify as U.S. Persons are preferred. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.
Job Description Job Description W2 only - NO C2C candidates, NO 3rd parties For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. Data Architect- Wealth Management Position Description Join a collaborative data and analytics team building a modern, cloud native data platform on AWS. In this hands on architecture role, you will shape the data foundations that power wealth management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. This role is located onsite at the client's office in Naperville, IL. This is a hybrid work scheduled. Future Responsibilities: . Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. . Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. . Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. . Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. . Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. . Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. . Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. . Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. . Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements: . 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. . Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. . Proven track record designing large scale data platforms on AWS. . Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. . Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. . Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. . Experience handling sensitive data with appropriate security, privacy, and compliance controls. . Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. . AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. . Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). . Databases: RDS, Aurora, DynamoDB. . Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. . Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. . BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills . AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). . Enterprise architecture framework experience (e.g., TOGAF). . Experience with data cataloging and governance tools (e.g., Collibra, Alation). . Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. . Exposure to machine learning / advanced analytics enablement. . Experience with data mesh or domain oriented data architecture. . Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. . . Ref: Pittsburgh
10/26/2026
Full time
Job Description Job Description W2 only - NO C2C candidates, NO 3rd parties For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. Data Architect- Wealth Management Position Description Join a collaborative data and analytics team building a modern, cloud native data platform on AWS. In this hands on architecture role, you will shape the data foundations that power wealth management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. This role is located onsite at the client's office in Naperville, IL. This is a hybrid work scheduled. Future Responsibilities: . Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. . Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. . Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. . Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. . Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. . Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. . Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. . Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. . Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements: . 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. . Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. . Proven track record designing large scale data platforms on AWS. . Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. . Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. . Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. . Experience handling sensitive data with appropriate security, privacy, and compliance controls. . Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. . AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. . Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). . Databases: RDS, Aurora, DynamoDB. . Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. . Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. . BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills . AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). . Enterprise architecture framework experience (e.g., TOGAF). . Experience with data cataloging and governance tools (e.g., Collibra, Alation). . Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. . Exposure to machine learning / advanced analytics enablement. . Experience with data mesh or domain oriented data architecture. . Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. . . Ref: Pittsburgh
Job Description Job Description About Company: About Tripoint Solutions We are technology innovators, partnered with state-of-the-art providers, such as AWS, ServiceNow, and UiPath, to drive digital transformation in the federal space. TPS teams are bringing automation and data science into areas of the government that are crying out for fresh tech-making positive impacts felt by tens of thousands of users, countless citizens, and all six branches of the military each day. Our Agile teams are responsible for envisioning, launching, and operating the massive data systems and analytics platforms used to manage $14.5B in government procurements and $200B in military real estate assets globally. At TPS, we apply the power of cloud technologies to help the government think smarter and function better-for everyone. TPS Company Values We value and respect each employee's dedicated work and unique contributions as they directly impact who we are and what we do. Your talent and innovative thinking bring leading-edge solutions to our customers. Our success is driven by the dedication of our employees. Employee-generated solutions have sustained our continued success and customer satisfaction Benefit Offerings Tripoint Solutions builds flexibility into health benefit plan choices, covers most of the monthly premiums, and helps employees build a career with impact through our generous professional development program. We offer all full-time employees: Medical, Dental, Vision benefits with a national provider network Flexible Spending and Health Savings Accounts (FSA & HSA) Company-paid Life and Disability insurance including Short-Term, Long-Term, and Accidental Supplemental Insurance Paid time off (PTO) 11 paid holidays 401(k) Retirement Plan Professional Development Reimbursement Program to pursue undergraduate, graduate, training, and certifications Monthly transportation, parking, and cell phone service reimbursement Tripoint Solutions is an Equal Opportunity Employer/Veterans/Disabled About the Role: This position is being recruited in anticipation of a contract award. The Data & AI Analytics Lead provides technical leadership for enterprise reporting, data management, business intelligence, and AI-enabled analytics capabilities supporting the Department of War Education (DoWEA) Education Platform modernization initiative. This role is responsible for designing, implementing, and governing data solutions that enable informed decision-making, improve operational visibility, and support enterprise analytics across instructional and business systems. Location: Washington, DC Metropolitan Area (Hybrid) Candidates must reside in the District of Columbia, Maryland, or Virginia. This position follows a hybrid work schedule and requires onsite support at a Government-designated location in the Washington, DC metropolitan area. Clearance Requirements: U.S. citizenship is required. Applicants selected for this position must be able to obtain and maintain a Public Trust clearance. Employment is contingent upon the successful completion of a Government background investigation and all applicable security requirements. Salary Range: The anticipated salary range for this position is $80,000-$170,000 annually. Final compensation has not yet been determined and will be based on factors including contract award, position requirements, the candidate's qualifications, experience, education, certifications, and geographic location. Responsibilities: Lead the design, development, and implementation of enterprise reporting and analytics solutions using modern business intelligence platforms. Define and implement data architecture, governance frameworks, master data management strategies, and data quality processes. Develop AI-ready data pipelines and analytics capabilities supporting enterprise decision-making and mission outcomes. Design and optimize data models, data warehouses, and lakehouse architectures. Collaborate with functional, technical, and Government stakeholders to integrate instructional, operational, and administrative data sources. Establish data governance practices to ensure data quality, security, privacy, and compliance with Federal standards. Provide technical leadership for Microsoft Fabric, Power BI, and advanced analytics initiatives. Support the development of dashboards, metrics, reporting frameworks, and analytical solutions. Evaluate emerging data and AI technologies and recommend solutions to improve enterprise capabilities. Minimum Qualifications: Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field. Minimum of 10 years of experience supporting enterprise analytics initiatives. Demonstrated experience supporting the Department of War Education (DoWEA). Experience implementing enterprise business intelligence, reporting, and data integration solutions. Experience developing data governance and analytics strategies. Strong communication, collaboration, and technical leadership skills. Required Experience: Business Intelligence Data Governance Master Data Management AI Analytics Microsoft Fabric Enterprise Data Integration Preferred Experience: K-12 education technology environments Student Information Systems (SIS) analytics Learning Management Systems (LMS) analytics Microsoft Power BI Azure Data Services Machine Learning Enterprise data platforms and advanced analytics solutions Preferred Certifications : Microsoft Power BI Data Analyst Certification Microsoft Azure Data Engineer Associate Databricks Data Engineer Certification
10/26/2026
Full time
Job Description Job Description About Company: About Tripoint Solutions We are technology innovators, partnered with state-of-the-art providers, such as AWS, ServiceNow, and UiPath, to drive digital transformation in the federal space. TPS teams are bringing automation and data science into areas of the government that are crying out for fresh tech-making positive impacts felt by tens of thousands of users, countless citizens, and all six branches of the military each day. Our Agile teams are responsible for envisioning, launching, and operating the massive data systems and analytics platforms used to manage $14.5B in government procurements and $200B in military real estate assets globally. At TPS, we apply the power of cloud technologies to help the government think smarter and function better-for everyone. TPS Company Values We value and respect each employee's dedicated work and unique contributions as they directly impact who we are and what we do. Your talent and innovative thinking bring leading-edge solutions to our customers. Our success is driven by the dedication of our employees. Employee-generated solutions have sustained our continued success and customer satisfaction Benefit Offerings Tripoint Solutions builds flexibility into health benefit plan choices, covers most of the monthly premiums, and helps employees build a career with impact through our generous professional development program. We offer all full-time employees: Medical, Dental, Vision benefits with a national provider network Flexible Spending and Health Savings Accounts (FSA & HSA) Company-paid Life and Disability insurance including Short-Term, Long-Term, and Accidental Supplemental Insurance Paid time off (PTO) 11 paid holidays 401(k) Retirement Plan Professional Development Reimbursement Program to pursue undergraduate, graduate, training, and certifications Monthly transportation, parking, and cell phone service reimbursement Tripoint Solutions is an Equal Opportunity Employer/Veterans/Disabled About the Role: This position is being recruited in anticipation of a contract award. The Data & AI Analytics Lead provides technical leadership for enterprise reporting, data management, business intelligence, and AI-enabled analytics capabilities supporting the Department of War Education (DoWEA) Education Platform modernization initiative. This role is responsible for designing, implementing, and governing data solutions that enable informed decision-making, improve operational visibility, and support enterprise analytics across instructional and business systems. Location: Washington, DC Metropolitan Area (Hybrid) Candidates must reside in the District of Columbia, Maryland, or Virginia. This position follows a hybrid work schedule and requires onsite support at a Government-designated location in the Washington, DC metropolitan area. Clearance Requirements: U.S. citizenship is required. Applicants selected for this position must be able to obtain and maintain a Public Trust clearance. Employment is contingent upon the successful completion of a Government background investigation and all applicable security requirements. Salary Range: The anticipated salary range for this position is $80,000-$170,000 annually. Final compensation has not yet been determined and will be based on factors including contract award, position requirements, the candidate's qualifications, experience, education, certifications, and geographic location. Responsibilities: Lead the design, development, and implementation of enterprise reporting and analytics solutions using modern business intelligence platforms. Define and implement data architecture, governance frameworks, master data management strategies, and data quality processes. Develop AI-ready data pipelines and analytics capabilities supporting enterprise decision-making and mission outcomes. Design and optimize data models, data warehouses, and lakehouse architectures. Collaborate with functional, technical, and Government stakeholders to integrate instructional, operational, and administrative data sources. Establish data governance practices to ensure data quality, security, privacy, and compliance with Federal standards. Provide technical leadership for Microsoft Fabric, Power BI, and advanced analytics initiatives. Support the development of dashboards, metrics, reporting frameworks, and analytical solutions. Evaluate emerging data and AI technologies and recommend solutions to improve enterprise capabilities. Minimum Qualifications: Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field. Minimum of 10 years of experience supporting enterprise analytics initiatives. Demonstrated experience supporting the Department of War Education (DoWEA). Experience implementing enterprise business intelligence, reporting, and data integration solutions. Experience developing data governance and analytics strategies. Strong communication, collaboration, and technical leadership skills. Required Experience: Business Intelligence Data Governance Master Data Management AI Analytics Microsoft Fabric Enterprise Data Integration Preferred Experience: K-12 education technology environments Student Information Systems (SIS) analytics Learning Management Systems (LMS) analytics Microsoft Power BI Azure Data Services Machine Learning Enterprise data platforms and advanced analytics solutions Preferred Certifications : Microsoft Power BI Data Analyst Certification Microsoft Azure Data Engineer Associate Databricks Data Engineer Certification
Job Description Job Description Location: Chicago, IL or New York, NY Base Salary Range: $200,000 - $250,000 (Base salary is only one part of Group One Trading's total compensation, which includes an annual discretionary bonus.) THE OPPORTUNITY Our Principal Data Engineer owns the architecture and technical direction of the data platform that powers trading analysis, reporting, and decision-making across Group One. They work closely with traders, risk, finance, and technology leadership to understand how data is produced and consumed across the firm, and translate those needs into a platform designed for reliability, scalability, and long-term evolution. Data usage is expanding rapidly across every part of our firm, and we are building a next-generation data platform to support it. Our existing Microsoft-based environment gives us a strong foundation and deep understanding of our data as we design what comes next. This role will define that future: evaluating technologies, selecting the architecture, establishing engineering standards, and defining a migration strategy that delivers value early while moving us deliberately toward the target platform. You will partner closely with our Senior Data Engineers who serve as the primary builders of the platform and provide technical leadership to the broader data team throughout the transition. We are looking for someone who has designed modern data platforms before, has lived with the consequences of their own architectural decisions, and knows how to make decisive technical choices while remaining open to being challenged by the engineers building alongside them. THE SKILLSET Extensive experience designing, building, and evolving production data platforms, including at least one significant modernization or migration from a legacy architecture Deep expertise in modern data architectures and the trade-offs among cloud data warehouses, lakehouses, batch and streaming systems, orchestration frameworks, transformation tooling, and event-driven architectures Experience evaluating and working with technologies such as Snowflake, Databricks, BigQuery, Redshift, Airflow, Dagster, Prefect, dbt, Kafka, or comparable platforms Strong command of data architecture principles, including data modeling, storage and compute architecture, governance, lineage, security, reliability, and cost management Expert-level SQL and strong proficiency in Python or a comparable language, with the ability and inclination to remain hands-on Working familiarity with the Microsoft data stack-including MSSQL, SSIS, SSAS, SSRS, and Power BI-sufficient to understand existing workloads and design a pragmatic migration path Experience establishing engineering standards around infrastructure-as-code, CI/CD, testing, observability, and data quality Demonstrated technical leadership, including mentoring experienced engineers, driving architectural decisions, and building consensus across teams with competing requirements Sound judgment around architectural trade-offs, build-versus-buy decisions, vendor selection, and production change risk Ability to communicate complex architectural decisions clearly to both technical and non-technical stakeholders WHAT TO EXPECT AS A PRINCIPAL DATA ENGINEER Within 1 month , you will understand our existing data environment, the systems that feed it, and the teams that depend on it. You will work directly with traders, risk, finance, operations, and technology leadership to understand our highest-value data use cases, current limitations, and long-term objectives. Within 3 months , you will have assessed our existing data landscape and established the target architecture for our next-generation platform, including technology selections, build-versus-buy decisions, migration strategy, and implementation sequencing. Working alongside our Senior Data Engineers, you will validate the architecture against real workloads, establish engineering standards, and begin putting the first components into production. Within 6 months , you will have production workloads operating on the new platform and a repeatable pattern for migrating additional datasets, pipelines, and reporting workloads. You will be leading the technical direction of the data engineering team, developing the engineers around you, and partnering with technology and business leadership on the longer-term roadmap for data at Group One. THE BENEFITS Our Principal Data Engineer earns a competitive salary, including a performance-based bonus. We provide fantastic benefits, including 401(k) and Roth 401(k) retirement plans with employer matching, medical, dental, vision, generous vacation time, paid holidays, parental leave, and flexible spending accounts (FSA) for health care, dependent daycare, and parking or mass transit expenses. If this sounds like the right opportunity for you, apply today! Please fill out our initial 3-minute, mobile-friendly application for the Principal Data Engineer role. We look forward to meeting you! Job Posted by ApplicantPro
10/26/2026
Full time
Job Description Job Description Location: Chicago, IL or New York, NY Base Salary Range: $200,000 - $250,000 (Base salary is only one part of Group One Trading's total compensation, which includes an annual discretionary bonus.) THE OPPORTUNITY Our Principal Data Engineer owns the architecture and technical direction of the data platform that powers trading analysis, reporting, and decision-making across Group One. They work closely with traders, risk, finance, and technology leadership to understand how data is produced and consumed across the firm, and translate those needs into a platform designed for reliability, scalability, and long-term evolution. Data usage is expanding rapidly across every part of our firm, and we are building a next-generation data platform to support it. Our existing Microsoft-based environment gives us a strong foundation and deep understanding of our data as we design what comes next. This role will define that future: evaluating technologies, selecting the architecture, establishing engineering standards, and defining a migration strategy that delivers value early while moving us deliberately toward the target platform. You will partner closely with our Senior Data Engineers who serve as the primary builders of the platform and provide technical leadership to the broader data team throughout the transition. We are looking for someone who has designed modern data platforms before, has lived with the consequences of their own architectural decisions, and knows how to make decisive technical choices while remaining open to being challenged by the engineers building alongside them. THE SKILLSET Extensive experience designing, building, and evolving production data platforms, including at least one significant modernization or migration from a legacy architecture Deep expertise in modern data architectures and the trade-offs among cloud data warehouses, lakehouses, batch and streaming systems, orchestration frameworks, transformation tooling, and event-driven architectures Experience evaluating and working with technologies such as Snowflake, Databricks, BigQuery, Redshift, Airflow, Dagster, Prefect, dbt, Kafka, or comparable platforms Strong command of data architecture principles, including data modeling, storage and compute architecture, governance, lineage, security, reliability, and cost management Expert-level SQL and strong proficiency in Python or a comparable language, with the ability and inclination to remain hands-on Working familiarity with the Microsoft data stack-including MSSQL, SSIS, SSAS, SSRS, and Power BI-sufficient to understand existing workloads and design a pragmatic migration path Experience establishing engineering standards around infrastructure-as-code, CI/CD, testing, observability, and data quality Demonstrated technical leadership, including mentoring experienced engineers, driving architectural decisions, and building consensus across teams with competing requirements Sound judgment around architectural trade-offs, build-versus-buy decisions, vendor selection, and production change risk Ability to communicate complex architectural decisions clearly to both technical and non-technical stakeholders WHAT TO EXPECT AS A PRINCIPAL DATA ENGINEER Within 1 month , you will understand our existing data environment, the systems that feed it, and the teams that depend on it. You will work directly with traders, risk, finance, operations, and technology leadership to understand our highest-value data use cases, current limitations, and long-term objectives. Within 3 months , you will have assessed our existing data landscape and established the target architecture for our next-generation platform, including technology selections, build-versus-buy decisions, migration strategy, and implementation sequencing. Working alongside our Senior Data Engineers, you will validate the architecture against real workloads, establish engineering standards, and begin putting the first components into production. Within 6 months , you will have production workloads operating on the new platform and a repeatable pattern for migrating additional datasets, pipelines, and reporting workloads. You will be leading the technical direction of the data engineering team, developing the engineers around you, and partnering with technology and business leadership on the longer-term roadmap for data at Group One. THE BENEFITS Our Principal Data Engineer earns a competitive salary, including a performance-based bonus. We provide fantastic benefits, including 401(k) and Roth 401(k) retirement plans with employer matching, medical, dental, vision, generous vacation time, paid holidays, parental leave, and flexible spending accounts (FSA) for health care, dependent daycare, and parking or mass transit expenses. If this sounds like the right opportunity for you, apply today! Please fill out our initial 3-minute, mobile-friendly application for the Principal Data Engineer role. We look forward to meeting you! Job Posted by ApplicantPro
Job Description Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life-from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group-57,000+ engineers in 30 countries-we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. We are seeking an experienced Data Architect who can design and support scalable enterprise data solutions, including data flows, system integrations, data lakes, and centralized repositories. The ideal candidate has a strong background in data architecture, data management, and modern data platforms, with the ability to collaborate effectively across business and technical teams to ensure seamless data exchange and alignment with organizational goals. This individual will be responsible for documenting data models and architecture decisions, identifying opportunities to improve data accessibility and quality, and helping establish best practices for data governance, lifecycle management, and overall data strategy. Responsibilities: Define and support data architecture strategies across enterprise applications. Design data flows and integrations between business systems and applications. Support the development and evolution of data lakes and central data repositories. Collaborate with application, business, and technology teams to ensure effective data exchange. Document data models, architecture decisions, and integration patterns. Identify opportunities to improve data accessibility, quality, and usage across the organization. Qualifications: Strong experience in data architecture, data management, and enterprise data solutions. Experience designing data flows, application integrations, and functional interfaces between systems. Knowledge of data lakes, centralized repositories, and modern data platforms. Experience supporting data governance, data quality, and data lifecycle management is a strong plus. Ability to collaborate with business and technical teams to define scalable data solutions. The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience Due to the potential for involvement with U.S. aerospace programs and export-controlled environments, candidates who qualify as U.S. Persons are preferred. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.
10/26/2026
Full time
Job Description Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life-from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group-57,000+ engineers in 30 countries-we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. We are seeking an experienced Data Architect who can design and support scalable enterprise data solutions, including data flows, system integrations, data lakes, and centralized repositories. The ideal candidate has a strong background in data architecture, data management, and modern data platforms, with the ability to collaborate effectively across business and technical teams to ensure seamless data exchange and alignment with organizational goals. This individual will be responsible for documenting data models and architecture decisions, identifying opportunities to improve data accessibility and quality, and helping establish best practices for data governance, lifecycle management, and overall data strategy. Responsibilities: Define and support data architecture strategies across enterprise applications. Design data flows and integrations between business systems and applications. Support the development and evolution of data lakes and central data repositories. Collaborate with application, business, and technology teams to ensure effective data exchange. Document data models, architecture decisions, and integration patterns. Identify opportunities to improve data accessibility, quality, and usage across the organization. Qualifications: Strong experience in data architecture, data management, and enterprise data solutions. Experience designing data flows, application integrations, and functional interfaces between systems. Knowledge of data lakes, centralized repositories, and modern data platforms. Experience supporting data governance, data quality, and data lifecycle management is a strong plus. Ability to collaborate with business and technical teams to define scalable data solutions. The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience Due to the potential for involvement with U.S. aerospace programs and export-controlled environments, candidates who qualify as U.S. Persons are preferred. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.
Job Description Job Description Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges. Dark Wolf is seeking a Data Engineer - Subject Matter Expert (SME) to architect, lead, and execute enterprise-wide data platform initiatives. As the principal technical authority, you will set the enterprise data architecture strategy, design high-assurance data topologies for classified enclaves, govern data mesh architectures, and advise government stakeholders on mission-critical data strategies. Key Responsibilities Architect and lead the end-to-end implementation of enterprise-scale, high-assurance data platforms and data mesh topologies. Serve as the principal technical authority on distributed data systems, lakehouse architectures, and real-time analytical capabilities. Mandate enterprise-wide data security standards, data-at-rest/in-transit encryption protocols, and zero-trust data governance. Set the strategic roadmap for multi-cloud, hybrid, and air-gapped data deployment methodologies. Interface directly with agency leadership and customer executive stakeholders to align data capabilities with mission objectives. Qualifications: Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph. Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree preferred). Experience: 15+ years of data engineering experience. SME Technical Competencies: Data Processing Frameworks: Enterprise architecture, framework evaluation, and platform strategy across processing systems. Database Systems: Architecting petabyte-scale lakehouse infrastructure, distributed storage optimization, and cross-region replication. Data Modeling: Strategic enterprise data domain modeling, enterprise ontology design, and schema evolution governance. Programming & Scripting: Multi-language mastery (Python, Scala, C++, Go) for low-level platform extension and memory-level engine optimization. Containerization: Enterprise multi-cluster Kubernetes strategy, zero-trust container architecture, and data infrastructure scheduling. Agile Frameworks: Strategic Agile transformation, scaled program delivery (SAFe), and technical governance. Multi-Cloud Architecture: Hybrid, multi-cloud, and air-gapped enterprise data strategy and infrastructure execution. Security Scanning Tooling: Enterprise DevSecOps authority, security compliance posture, and risk mitigation strategies. Desired Qualifications: Advanced Certifications: AWS Certified Solutions Architect, Certified Information Systems Security Professional (CISSP), or Kubernetes Certified Administrator (CKA). Deep understanding of high-assurance systems, zero-trust data governance, and national security data integration challenges. Position Clearance Requirement: US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph Location: Chantilly/Herndon, VA. Target Salary Range: $185,000.00 - $240,000.00+ (Commensurate with specialized expertise and technical skillset). Equal Opportunity Employer: We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
10/26/2026
Full time
Job Description Job Description Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges. Dark Wolf is seeking a Data Engineer - Subject Matter Expert (SME) to architect, lead, and execute enterprise-wide data platform initiatives. As the principal technical authority, you will set the enterprise data architecture strategy, design high-assurance data topologies for classified enclaves, govern data mesh architectures, and advise government stakeholders on mission-critical data strategies. Key Responsibilities Architect and lead the end-to-end implementation of enterprise-scale, high-assurance data platforms and data mesh topologies. Serve as the principal technical authority on distributed data systems, lakehouse architectures, and real-time analytical capabilities. Mandate enterprise-wide data security standards, data-at-rest/in-transit encryption protocols, and zero-trust data governance. Set the strategic roadmap for multi-cloud, hybrid, and air-gapped data deployment methodologies. Interface directly with agency leadership and customer executive stakeholders to align data capabilities with mission objectives. Qualifications: Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph. Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree preferred). Experience: 15+ years of data engineering experience. SME Technical Competencies: Data Processing Frameworks: Enterprise architecture, framework evaluation, and platform strategy across processing systems. Database Systems: Architecting petabyte-scale lakehouse infrastructure, distributed storage optimization, and cross-region replication. Data Modeling: Strategic enterprise data domain modeling, enterprise ontology design, and schema evolution governance. Programming & Scripting: Multi-language mastery (Python, Scala, C++, Go) for low-level platform extension and memory-level engine optimization. Containerization: Enterprise multi-cluster Kubernetes strategy, zero-trust container architecture, and data infrastructure scheduling. Agile Frameworks: Strategic Agile transformation, scaled program delivery (SAFe), and technical governance. Multi-Cloud Architecture: Hybrid, multi-cloud, and air-gapped enterprise data strategy and infrastructure execution. Security Scanning Tooling: Enterprise DevSecOps authority, security compliance posture, and risk mitigation strategies. Desired Qualifications: Advanced Certifications: AWS Certified Solutions Architect, Certified Information Systems Security Professional (CISSP), or Kubernetes Certified Administrator (CKA). Deep understanding of high-assurance systems, zero-trust data governance, and national security data integration challenges. Position Clearance Requirement: US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph Location: Chantilly/Herndon, VA. Target Salary Range: $185,000.00 - $240,000.00+ (Commensurate with specialized expertise and technical skillset). Equal Opportunity Employer: We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
Job Description Job Description What You'll be Owning GRVTY is seeking a with a TS/SCI with Full Scope Poly clearance (you can join the project with a TS or higher clearance and over time will be upgraded to TS/SCI + Poly applicable to this customer) to join one of our top projects in Sterling, VA. We are in need of an IOS Developer to join our team to solve real-time cyber challenges. Looking for individuals who enjoy working on a mission-focused team that works very closely with our end users. Duties include: design custom software tools and techniques for the Apple iOS platform; be responsible for end-to-end design and development of custom software; diagnose and debug issues using both COTS and GOTS tools; have a firm understanding of how networks work; develop documentation pertinent to operating and supporting developed software and techniques; mentor and lead junior-level developers to accomplish mission objectives; and solve real-time cyber challenges. What You Must Have Active TS/SCI with Polygraph Clearance Development, testing and debugging Python and C Reverse engineering iOS or MacOS apps in ARM or X86 Developing proof-of-concept exploit software Working with version control software such as git What Would be Nice to Have Understanding of CNE techniques and methodologies on MacOS or iOS Objective-C, Swift or C++ programming Ability to work independently and as part of a team in a fast-paced environment with ever-changing requirements. Undergraduate degree in Computer Science preferred. Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $150,000 - $250,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $150,000-$250,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.
10/26/2026
Full time
Job Description Job Description What You'll be Owning GRVTY is seeking a with a TS/SCI with Full Scope Poly clearance (you can join the project with a TS or higher clearance and over time will be upgraded to TS/SCI + Poly applicable to this customer) to join one of our top projects in Sterling, VA. We are in need of an IOS Developer to join our team to solve real-time cyber challenges. Looking for individuals who enjoy working on a mission-focused team that works very closely with our end users. Duties include: design custom software tools and techniques for the Apple iOS platform; be responsible for end-to-end design and development of custom software; diagnose and debug issues using both COTS and GOTS tools; have a firm understanding of how networks work; develop documentation pertinent to operating and supporting developed software and techniques; mentor and lead junior-level developers to accomplish mission objectives; and solve real-time cyber challenges. What You Must Have Active TS/SCI with Polygraph Clearance Development, testing and debugging Python and C Reverse engineering iOS or MacOS apps in ARM or X86 Developing proof-of-concept exploit software Working with version control software such as git What Would be Nice to Have Understanding of CNE techniques and methodologies on MacOS or iOS Objective-C, Swift or C++ programming Ability to work independently and as part of a team in a fast-paced environment with ever-changing requirements. Undergraduate degree in Computer Science preferred. Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $150,000 - $250,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $150,000-$250,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.
Job Description Job Description Position Summary The Data Architect will lead the design and governance of data systems that enable analytics and secure data sharing across the organization. This role ensures data structures and platforms support mission-critical operations while maintaining compliance with federal security standards. A central part of the job is reconciling data that arrives in inconsistent forms - relational SQL databases, Microsoft Dataverse, spreadsheets, and unstructured documents and files - into unified enterprise data models that the organization's cloud and analytics platforms can build on with confidence. This is a hands-on architecture role: the Data Architect is expected to both design the enterprise data models and build the pipelines, semantic layers, and governance artifacts - in Databricks, Power BI, Tableau, and related platforms - that put those models into production. Responsibilities Define enterprise data models, standards, and governance frameworks that unify data originating from SQL databases, Microsoft Dataverse, spreadsheets, unstructured documents, and other varying source formats into consistent, reusable structures. Lead cloud data migration and integration initiatives, including ingestion and transformation pipelines built in Databricks and comparable ETL/ELT tooling. Automate data loading, cleansing, and validation routines to reduce manual data preparation and ensure incoming data consistently meets quality standards before it reaches downstream models. Design and schedule automated refresh workflows (Databricks Jobs/Workflows or equivalent orchestration) so source data, transformations, and downstream datasets stay current without manual intervention. Build and optimize Databricks pipelines using Delta Lake, PySpark/SQL notebooks, and medallion (bronze/silver/gold) architecture patterns to structure raw, cleansed, and analytics-ready data layers. Apply performance tuning and cost-optimization practices (cluster sizing, job scheduling, partitioning, caching) to keep automated pipelines efficient and reliable at scale. Ensure compliance with NIST and other applicable federal data security requirements across all data architecture, storage, and access design decisions. Collaborate with developers, analysts, and system engineers to optimize data architecture and resolve inconsistencies between source systems. Provide technical guidance on best practices for data quality, storage, and retrieval, including canonical entity definitions so the same data concept is represented consistently across every downstream system. Design and curate semantic and reporting layers (data marts, shared datasets, modeled views) that feed Power BI, Tableau, and other visualization platforms, so metrics are defined once and reused consistently across dashboards. Assess the lineage, quality, and structure of existing data sets prior to modeling; identify gaps, redundancies, and conflicting definitions across systems. Document architecture decisions, data flows, and system integrations, and mentor other technical staff on data modeling standards as the practice matures. Qualifications Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred). 8+ years of experience in data architecture or data engineering, including experience building enterprise-level data models spanning multiple, varying source systems. Proficiency with SQL and cloud data platforms (AWS GovCloud, Azure Gov). Hands-on experience with Databricks (or a comparable Spark-based/lakehouse platform) for data pipeline development, including PySpark/SQL notebooks, Delta Lake, and job/workflow orchestration for automated, scheduled data refreshes. Experience modeling and integrating data from Microsoft Dataverse or similar low-code/Power Platform data stores. Practical experience preparing data models for Power BI and/or Tableau consumption, including semantic layer and shared dataset design. Demonstrated ability to work with messy, inconsistent, or unstructured data (spreadsheets, documents, file exports) and bring it into a governed enterprise structure. Demonstrated experience automating data ingestion, cleansing, and refresh processes end-to-end, minimizing manual data preparation and keeping downstream datasets current on a defined schedule. Strong knowledge of data governance frameworks and compliance requirements, including NIST and other federal data security standards. Excellent problem-solving and communication skills, with the ability to explain technical data concepts to non-technical stakeholders. Preferred Qualifications Experience supporting a federal civilian agency contract, including familiarity with agency-specific data-handling and security requirements. Familiarity with SharePoint Online, Power Automate, and the broader Microsoft 365 / Power Platform data ecosystem. Experience with master data management (MDM) tools or practices. Experience with Databricks Unity Catalog, CI/CD for data pipelines, or infrastructure-as-code approaches to managing Databricks workspaces and jobs. Relevant certifications such as Databricks Certified Data Engineer, AWS Certified Data Analytics, or Microsoft Certified: Azure Data Engineer Associate. Job Posted by ApplicantPro
10/26/2026
Full time
Job Description Job Description Position Summary The Data Architect will lead the design and governance of data systems that enable analytics and secure data sharing across the organization. This role ensures data structures and platforms support mission-critical operations while maintaining compliance with federal security standards. A central part of the job is reconciling data that arrives in inconsistent forms - relational SQL databases, Microsoft Dataverse, spreadsheets, and unstructured documents and files - into unified enterprise data models that the organization's cloud and analytics platforms can build on with confidence. This is a hands-on architecture role: the Data Architect is expected to both design the enterprise data models and build the pipelines, semantic layers, and governance artifacts - in Databricks, Power BI, Tableau, and related platforms - that put those models into production. Responsibilities Define enterprise data models, standards, and governance frameworks that unify data originating from SQL databases, Microsoft Dataverse, spreadsheets, unstructured documents, and other varying source formats into consistent, reusable structures. Lead cloud data migration and integration initiatives, including ingestion and transformation pipelines built in Databricks and comparable ETL/ELT tooling. Automate data loading, cleansing, and validation routines to reduce manual data preparation and ensure incoming data consistently meets quality standards before it reaches downstream models. Design and schedule automated refresh workflows (Databricks Jobs/Workflows or equivalent orchestration) so source data, transformations, and downstream datasets stay current without manual intervention. Build and optimize Databricks pipelines using Delta Lake, PySpark/SQL notebooks, and medallion (bronze/silver/gold) architecture patterns to structure raw, cleansed, and analytics-ready data layers. Apply performance tuning and cost-optimization practices (cluster sizing, job scheduling, partitioning, caching) to keep automated pipelines efficient and reliable at scale. Ensure compliance with NIST and other applicable federal data security requirements across all data architecture, storage, and access design decisions. Collaborate with developers, analysts, and system engineers to optimize data architecture and resolve inconsistencies between source systems. Provide technical guidance on best practices for data quality, storage, and retrieval, including canonical entity definitions so the same data concept is represented consistently across every downstream system. Design and curate semantic and reporting layers (data marts, shared datasets, modeled views) that feed Power BI, Tableau, and other visualization platforms, so metrics are defined once and reused consistently across dashboards. Assess the lineage, quality, and structure of existing data sets prior to modeling; identify gaps, redundancies, and conflicting definitions across systems. Document architecture decisions, data flows, and system integrations, and mentor other technical staff on data modeling standards as the practice matures. Qualifications Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred). 8+ years of experience in data architecture or data engineering, including experience building enterprise-level data models spanning multiple, varying source systems. Proficiency with SQL and cloud data platforms (AWS GovCloud, Azure Gov). Hands-on experience with Databricks (or a comparable Spark-based/lakehouse platform) for data pipeline development, including PySpark/SQL notebooks, Delta Lake, and job/workflow orchestration for automated, scheduled data refreshes. Experience modeling and integrating data from Microsoft Dataverse or similar low-code/Power Platform data stores. Practical experience preparing data models for Power BI and/or Tableau consumption, including semantic layer and shared dataset design. Demonstrated ability to work with messy, inconsistent, or unstructured data (spreadsheets, documents, file exports) and bring it into a governed enterprise structure. Demonstrated experience automating data ingestion, cleansing, and refresh processes end-to-end, minimizing manual data preparation and keeping downstream datasets current on a defined schedule. Strong knowledge of data governance frameworks and compliance requirements, including NIST and other federal data security standards. Excellent problem-solving and communication skills, with the ability to explain technical data concepts to non-technical stakeholders. Preferred Qualifications Experience supporting a federal civilian agency contract, including familiarity with agency-specific data-handling and security requirements. Familiarity with SharePoint Online, Power Automate, and the broader Microsoft 365 / Power Platform data ecosystem. Experience with master data management (MDM) tools or practices. Experience with Databricks Unity Catalog, CI/CD for data pipelines, or infrastructure-as-code approaches to managing Databricks workspaces and jobs. Relevant certifications such as Databricks Certified Data Engineer, AWS Certified Data Analytics, or Microsoft Certified: Azure Data Engineer Associate. Job Posted by ApplicantPro
Job Description Job Description Candidates must possess US Citizenship with the ability to gain a government security clearance. About Infinitive: Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named "Best Small Firms to Work For" by Consulting Magazine 9 times most recently in 2026. Infinitive has also been named a Washington Post "Top Workplace", Washington Business Journal "Best Places to Work", and Virginia Business "Best Places to Work." Job Summary: We are seeking a highly skilled Data Engineer with extensive experience in Databricks on AWS or Azure to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable data architectures, ensuring data integrity, and optimizing data flow and collection. This role requires a deep understanding of cloud-based data solutions and strong expertise in leveraging Databricks to drive data initiatives. Key Responsibilities: Design, develop, and implement data architectures and solutions on Databricks in both AWS and Azure. Collaborate with stakeholders to understand business requirements and translate them into technical specifications. Develop and maintain ETL processes to ensure efficient data flow and integration across systems. Ensure data quality, integrity, and security in all data-related activities. Optimize data storage and retrieval strategies to improve performance and cost-efficiency. Lead the implementation of data governance policies and procedures. Provide technical guidance and mentorship to data engineering teams. Stay updated with the latest industry trends and best practices in data architecture, Databricks, cloud data warehouses, AWS and Azure. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Proven experience as a Data Architect, with a strong focus on Databricks. Proficiency in Databricks, including the ability to build and optimize Spark applications. Extensive experience with AWS services such as S3, Redshift, EMR, Lambda, Glue, and others. Strong knowledge of Unity Catalog and its application in managing and securing data assets. Strong knowledge of data modeling, ETL processes, and data warehousing concepts. Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark). Familiarity with data governance and data security practices. Databricks Certified Professional. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: AWS Certified Solutions Architect or similar certification. Experience with other cloud platforms (e.g., Azure, GCP). Knowledge of machine learning and data science concepts. Experience with data visualization tools (e.g., Tableau, Power BI). Prior experience in a leadership or mentorship role. Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $124,000 - $190,00.00. Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Powered by JazzHR AofA1xu3Et
10/26/2026
Full time
Job Description Job Description Candidates must possess US Citizenship with the ability to gain a government security clearance. About Infinitive: Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named "Best Small Firms to Work For" by Consulting Magazine 9 times most recently in 2026. Infinitive has also been named a Washington Post "Top Workplace", Washington Business Journal "Best Places to Work", and Virginia Business "Best Places to Work." Job Summary: We are seeking a highly skilled Data Engineer with extensive experience in Databricks on AWS or Azure to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable data architectures, ensuring data integrity, and optimizing data flow and collection. This role requires a deep understanding of cloud-based data solutions and strong expertise in leveraging Databricks to drive data initiatives. Key Responsibilities: Design, develop, and implement data architectures and solutions on Databricks in both AWS and Azure. Collaborate with stakeholders to understand business requirements and translate them into technical specifications. Develop and maintain ETL processes to ensure efficient data flow and integration across systems. Ensure data quality, integrity, and security in all data-related activities. Optimize data storage and retrieval strategies to improve performance and cost-efficiency. Lead the implementation of data governance policies and procedures. Provide technical guidance and mentorship to data engineering teams. Stay updated with the latest industry trends and best practices in data architecture, Databricks, cloud data warehouses, AWS and Azure. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Proven experience as a Data Architect, with a strong focus on Databricks. Proficiency in Databricks, including the ability to build and optimize Spark applications. Extensive experience with AWS services such as S3, Redshift, EMR, Lambda, Glue, and others. Strong knowledge of Unity Catalog and its application in managing and securing data assets. Strong knowledge of data modeling, ETL processes, and data warehousing concepts. Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark). Familiarity with data governance and data security practices. Databricks Certified Professional. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: AWS Certified Solutions Architect or similar certification. Experience with other cloud platforms (e.g., Azure, GCP). Knowledge of machine learning and data science concepts. Experience with data visualization tools (e.g., Tableau, Power BI). Prior experience in a leadership or mentorship role. Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $124,000 - $190,00.00. Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Powered by JazzHR AofA1xu3Et
Job Description Job Description Analytica is seeking a Systems Architect - Data Science & Advanced Analytics to provide strategic and technical leadership in designing, implementing, and modernizing enterprise data and advanced analytics solutions. This role serves as the lead architect for data science initiatives, responsible for developing scalable analytics environments, machine learning solutions, and enterprise data architectures with a strong emphasis on Databricks, Apache Spark, and modern cloud-based data platforms. The ideal candidate will work closely with data scientists, data engineers, business stakeholders, and technical leadership to develop innovative analytics solutions that transform complex data into actionable insights. This individual will provide technical vision, establish best practices, and lead the adoption of advanced analytics and machine learning capabilities across the organization. Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Key Responsibilities Data Science Leadership Serve as the Lead Architect for enterprise Data Science and Advanced Analytics initiatives. Develop and drive the organization's vision and strategy for Big Data, Artificial Intelligence, and Machine Learning solutions. Lead the design and implementation of scalable data science environments that support experimentation, model development, validation, and deployment. Provide technical leadership and mentorship to Data Scientists, Machine Learning Engineers, and Analytics teams. Identify emerging technologies and analytical methodologies that improve organizational capabilities and mission outcomes. Advanced Analytics & Machine Learning Architect end-to-end machine learning and advanced analytics solutions using modern data platforms and distributed computing frameworks. Design scalable workflows for data preparation, feature engineering, model training, evaluation, and production deployment. Collaborate with cross-functional teams to translate business and mission objectives into advanced analytical solutions. Guide the development of predictive models, statistical analyses, optimization models, and AI-driven decision support tools. Establish best practices for model governance, reproducibility, documentation, and performance monitoring. Data Architecture & Big Data Solutions Design enterprise data architectures that enable large-scale analytics and machine learning workloads. Lead the development of data pipelines and analytical frameworks utilizing Databricks Lakehouse architecture, Delta Lake, and Apache Spark. Ensure data solutions are scalable, reliable, high-performing, and aligned with enterprise architecture standards. Architect integrated data ecosystems that support structured, semi-structured, and unstructured data sources. Lead modernization initiatives that enhance data accessibility, analytical capabilities, and operational efficiency. Strategic Collaboration Partner with executive leadership and business stakeholders to define data and analytics roadmaps. Translate complex technical concepts into business-focused recommendations and strategic initiatives. Lead architecture reviews and provide expert guidance on enterprise analytics solutions. Foster collaboration between Data Science, Data Engineering, and business teams to deliver high-impact analytical products. Required Qualifications Experience Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related technical discipline (Master's preferred). 10+ years of progressive experience designing and implementing advanced analytics, machine learning, or Big Data solutions. Demonstrated experience serving as a technical lead or subject matter expert for enterprise data science initiatives. Experience leading technical teams and architecting large-scale analytics platforms. Experience architecting enterprise-scale data science and advanced analytics platforms. Experience developing AI/ML solutions supporting mission-critical or large-scale business operations. Knowledge of modern data governance and responsible AI principles. Experience with experimentation frameworks, model operationalization, and analytical product development. Familiarity with Agile product development and collaborative data science workflows. Required Technical Skills Data Science & Machine Learning Machine Learning model development and lifecycle management Statistical analysis and predictive modeling Artificial Intelligence and Advanced Analytics methodologies Feature engineering and model evaluation techniques Data exploration and analytical solution design Big Data & Data Engineering Databricks Lakehouse Platform Apache Spark Delta Lake Distributed data processing frameworks ETL/ELT and modern data pipeline architectures Data modeling and enterprise data architecture Analytics & Visualization Advanced analytics solution design Business Intelligence and data visualization concepts Dashboard and reporting architecture Data storytelling and insight generation Leadership Technical strategy development Enterprise architecture governance Cross-functional team leadership Stakeholder engagement and executive communication Mentoring and coaching technical teams Certifications: Candidates should possess one or more of the following certifications: Databricks Databricks Certified Professional Data Scientist Databricks Certified Professional Data Engineer Databricks Certified Machine Learning Associate Databricks Certified Developer for Apache Spark Big Data & Analytics Apache Spark or Big Data certifications Tableau Certified Professional (Desktop or Server) Other industry-recognized data science, analytics, or visualization certifications About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. Application Review: AI tools may help identify skills and experiences relevant to the role. Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. Powered by JazzHR p4l6BTwW2r
10/26/2026
Full time
Job Description Job Description Analytica is seeking a Systems Architect - Data Science & Advanced Analytics to provide strategic and technical leadership in designing, implementing, and modernizing enterprise data and advanced analytics solutions. This role serves as the lead architect for data science initiatives, responsible for developing scalable analytics environments, machine learning solutions, and enterprise data architectures with a strong emphasis on Databricks, Apache Spark, and modern cloud-based data platforms. The ideal candidate will work closely with data scientists, data engineers, business stakeholders, and technical leadership to develop innovative analytics solutions that transform complex data into actionable insights. This individual will provide technical vision, establish best practices, and lead the adoption of advanced analytics and machine learning capabilities across the organization. Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Key Responsibilities Data Science Leadership Serve as the Lead Architect for enterprise Data Science and Advanced Analytics initiatives. Develop and drive the organization's vision and strategy for Big Data, Artificial Intelligence, and Machine Learning solutions. Lead the design and implementation of scalable data science environments that support experimentation, model development, validation, and deployment. Provide technical leadership and mentorship to Data Scientists, Machine Learning Engineers, and Analytics teams. Identify emerging technologies and analytical methodologies that improve organizational capabilities and mission outcomes. Advanced Analytics & Machine Learning Architect end-to-end machine learning and advanced analytics solutions using modern data platforms and distributed computing frameworks. Design scalable workflows for data preparation, feature engineering, model training, evaluation, and production deployment. Collaborate with cross-functional teams to translate business and mission objectives into advanced analytical solutions. Guide the development of predictive models, statistical analyses, optimization models, and AI-driven decision support tools. Establish best practices for model governance, reproducibility, documentation, and performance monitoring. Data Architecture & Big Data Solutions Design enterprise data architectures that enable large-scale analytics and machine learning workloads. Lead the development of data pipelines and analytical frameworks utilizing Databricks Lakehouse architecture, Delta Lake, and Apache Spark. Ensure data solutions are scalable, reliable, high-performing, and aligned with enterprise architecture standards. Architect integrated data ecosystems that support structured, semi-structured, and unstructured data sources. Lead modernization initiatives that enhance data accessibility, analytical capabilities, and operational efficiency. Strategic Collaboration Partner with executive leadership and business stakeholders to define data and analytics roadmaps. Translate complex technical concepts into business-focused recommendations and strategic initiatives. Lead architecture reviews and provide expert guidance on enterprise analytics solutions. Foster collaboration between Data Science, Data Engineering, and business teams to deliver high-impact analytical products. Required Qualifications Experience Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related technical discipline (Master's preferred). 10+ years of progressive experience designing and implementing advanced analytics, machine learning, or Big Data solutions. Demonstrated experience serving as a technical lead or subject matter expert for enterprise data science initiatives. Experience leading technical teams and architecting large-scale analytics platforms. Experience architecting enterprise-scale data science and advanced analytics platforms. Experience developing AI/ML solutions supporting mission-critical or large-scale business operations. Knowledge of modern data governance and responsible AI principles. Experience with experimentation frameworks, model operationalization, and analytical product development. Familiarity with Agile product development and collaborative data science workflows. Required Technical Skills Data Science & Machine Learning Machine Learning model development and lifecycle management Statistical analysis and predictive modeling Artificial Intelligence and Advanced Analytics methodologies Feature engineering and model evaluation techniques Data exploration and analytical solution design Big Data & Data Engineering Databricks Lakehouse Platform Apache Spark Delta Lake Distributed data processing frameworks ETL/ELT and modern data pipeline architectures Data modeling and enterprise data architecture Analytics & Visualization Advanced analytics solution design Business Intelligence and data visualization concepts Dashboard and reporting architecture Data storytelling and insight generation Leadership Technical strategy development Enterprise architecture governance Cross-functional team leadership Stakeholder engagement and executive communication Mentoring and coaching technical teams Certifications: Candidates should possess one or more of the following certifications: Databricks Databricks Certified Professional Data Scientist Databricks Certified Professional Data Engineer Databricks Certified Machine Learning Associate Databricks Certified Developer for Apache Spark Big Data & Analytics Apache Spark or Big Data certifications Tableau Certified Professional (Desktop or Server) Other industry-recognized data science, analytics, or visualization certifications About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. Application Review: AI tools may help identify skills and experiences relevant to the role. Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. Powered by JazzHR p4l6BTwW2r
Job Description Job Description JOB DESCRIPTION Nurx is transforming healthcare by delivering convenient, affordable, and personalized care that empowers patients and improves health outcomes. The leader in digital healthcare for women, Nurx combines medical providers who are passionate about patient care with cutting-edge tech solutions to offer asynchronous medical consultations and home delivery of medication and tests. We've provided birth control, prescription skincare, migraine treatment, PrEP, herpes medication, STI testing and more to more than 1 million patients, and we're just getting started. We are lucky to count Kleiner Perkins and Union Square Ventures as investors and Chelsea Clinton and former US Surgeon General Regina Benjamin as board members. We're on a mission to make every part of getting healthy and staying healthy, better - and we're looking for people like you to help! About the Job We are searching for a passionate and accomplished Product Designer who shares our belief that user-centered design plays a key role in transforming and improving healthcare. You will design beautiful, functional interfaces and user experiences, partner with Product and Engineering to steward your vision from concept to reality, and collaborate with a best-in-class Clinical team to improve the health of millions of people. Utilizing your full range of product design, UX & interaction design, and visual design skills, you will work across multiple products within the Nurx user experience. What you'll do: Craft elegant flows, smooth interactions and experiences across platforms to enable our patients and internal teams to arrive at the right outcomes and answers for optimal patient care Collaborate with a diverse set of stakeholders to simplify complex problems and enable elegant solutions to be used by both internal and external users Collaborate with fellow designers to jointly create highly functional and holistic end-to-end solutions, establish design system standards/patterns, artifact reuse and implement consistency across product teams. Collaborate with Engineers to bring wireframes, mock-ups and prototypes to live production Partner with Product, Engineering and Clinical teams to evolve the products to drive optimization of health outcomes. Constantly measure design performance to iterate and improve experiences as needed. Influence roadmaps to include experience improvements that enhance product performance Help define and implement the UX, UX Research and Design Systems strategy A bit about you: 4+ years of hands on Product Design experience, ideally at a fast-paced, startup environment (past work in direct to consumer web products and/or apps a bonus) Ability to think through user problems, explore reasonable solutions, draft wireframes/flows in detail, and work with engineers to build them Excellent communication skills - be able to clearly present and articulate design decisions Familiarity in using quantitative and qualitative data to identify areas of opportunity for improvement A portfolio demonstrating research, analysis, and synthesis of product requirements behind each design for both web and mobile apps Proficiency with industry standard design tools - we use Figma
10/26/2026
Full time
Job Description Job Description JOB DESCRIPTION Nurx is transforming healthcare by delivering convenient, affordable, and personalized care that empowers patients and improves health outcomes. The leader in digital healthcare for women, Nurx combines medical providers who are passionate about patient care with cutting-edge tech solutions to offer asynchronous medical consultations and home delivery of medication and tests. We've provided birth control, prescription skincare, migraine treatment, PrEP, herpes medication, STI testing and more to more than 1 million patients, and we're just getting started. We are lucky to count Kleiner Perkins and Union Square Ventures as investors and Chelsea Clinton and former US Surgeon General Regina Benjamin as board members. We're on a mission to make every part of getting healthy and staying healthy, better - and we're looking for people like you to help! About the Job We are searching for a passionate and accomplished Product Designer who shares our belief that user-centered design plays a key role in transforming and improving healthcare. You will design beautiful, functional interfaces and user experiences, partner with Product and Engineering to steward your vision from concept to reality, and collaborate with a best-in-class Clinical team to improve the health of millions of people. Utilizing your full range of product design, UX & interaction design, and visual design skills, you will work across multiple products within the Nurx user experience. What you'll do: Craft elegant flows, smooth interactions and experiences across platforms to enable our patients and internal teams to arrive at the right outcomes and answers for optimal patient care Collaborate with a diverse set of stakeholders to simplify complex problems and enable elegant solutions to be used by both internal and external users Collaborate with fellow designers to jointly create highly functional and holistic end-to-end solutions, establish design system standards/patterns, artifact reuse and implement consistency across product teams. Collaborate with Engineers to bring wireframes, mock-ups and prototypes to live production Partner with Product, Engineering and Clinical teams to evolve the products to drive optimization of health outcomes. Constantly measure design performance to iterate and improve experiences as needed. Influence roadmaps to include experience improvements that enhance product performance Help define and implement the UX, UX Research and Design Systems strategy A bit about you: 4+ years of hands on Product Design experience, ideally at a fast-paced, startup environment (past work in direct to consumer web products and/or apps a bonus) Ability to think through user problems, explore reasonable solutions, draft wireframes/flows in detail, and work with engineers to build them Excellent communication skills - be able to clearly present and articulate design decisions Familiarity in using quantitative and qualitative data to identify areas of opportunity for improvement A portfolio demonstrating research, analysis, and synthesis of product requirements behind each design for both web and mobile apps Proficiency with industry standard design tools - we use Figma
Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $120,000 to $200,000.
10/26/2026
Full time
Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $120,000 to $200,000.
Convene Hospitality Group
Washington, Washington DC
Job Description Job Description Convene Hospitality Group (CHG) operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. The company designs, develops, and operates hospitality-driven destinations to host gatherings of all kinds, ranging from small corporate meetings to immersive brand activations and beyond. We love bringing people together in person, and that passion for great experiences extends to our employees as well. If you're interested in creating inspiring moments of connection, consider joining our team. Data Platform Lead We're hiring a hands-on Data Platform Lead, to join Convene Hospitality Group's (CHG) Technology organization.You'll own our data platform end to end, from architecture to how we model the business, and you'll manage the analytics engineers who build on it. Data platform modernization and AI-first development are top priorities, and this role sits at the center of both, working hand in hand with the product engineers whose systems create much of our data. Today, our marts mostly mirror the systems they come from. Salesforce data looks like Salesforce, NetSuite data looks like NetSuite. You'll reshape our models around how the business runs, organized by domain, and layer governed dashboards and conversational analytics on top. In one year, a finance lead, a venue GM, and an AI agent should all be able to ask a question in plain language and get the same trusted answer. Today we run Snowflake, dbt, and Fivetran. You'll help us rearchitect for where CHG is headed: building on Snowflake's native capabilities (semantic views, Cortex, and its agent tooling), rolling out ThoughtSpot, and filling gaps like observability. This is a hands-on management role, open to first-time managers. If you've led as a tech lead, mentored engineers, or directed contractors, you'll get direct coaching from a VP of Engineering who develops first-time leaders. Experienced managers who still want to build are welcome too. What You'll Do: Own the data platform end to end. Architecture, reliability, and roadmap from source to decision across Snowflake, dbt, and Fivetran. Move platform configuration from the UI into Terraform, in coordination with Cloud Infrastructure, so warehouses, roles, grants and connectors are versioned, reviewed and reproducible. Rethink how we model the business. Move us from source-shaped marts to domain-oriented models built around how CHG runs. Set the modeling standards, naming conventions and review practices the team builds on. Work backward from the business question. Partner with Finance, Sales, Operations and venue leadership to turn the questions they need answered into models, metrics and definitions they trust. Partner closely with product engineering. Work with product squads on schema design, data contracts, and upstream changes, so the platform and products evolve together. Own data quality and observability. Set the testing standards, contracts, and reconciliation checks that make our numbers trustworthy, and alert an owner before a stakeholder finds a broken dashboard. Own the metrics and BI layer. Roll out our BI tool and build the semantic layer behind governed dashboards in Snowflake semantic views, with certified metrics and shared definitions, so a number means the same thing everywhere it shows up. Bring conversational analytics online, safely. Stand up natural-language querying and agents on Snowflake's native tools, with the evals and guardrails that keep agent, dashboard, and human answers in sync. Govern the data. Access control, PII handling and accessible documentation across analytics and AI. Lead and grow analytics engineering. Manage and hire our analytics engineers, and direct the contractors we work with today. Coach through code review, pairing, and clear expectations. Keep your hands on the keyboard. Write dbt models, review PRs, debug pipelines and prototype new approaches. Expect to build a lot, especially early on. What We Look For: You have 7+ years in data engineering, analytics engineering or data architecture, including building a modern data platform that people rely on in production. You use AI agents for real multi-step work: building models, writing tests, debugging pipelines and documenting what exists. You write clear specs, give agents the right context, and verify what they produce against the real system. You're deep on dbt and Snowflake. You've designed project structure, testing strategy and warehouse performance at scale, and you manage the platform as code with Terraform or similar. You're fluent in data modeling and have moved a team from source-shaped models to business-shaped, domain-oriented marts, then seen the change through to adoption. You've built data quality and observability practices: tests, contracts, freshness monitoring and alerting that people trust. You've built a semantic layer and governed metrics that people trust, and you understand what it takes to make natural-language and agent-driven analytics accurate. You've worked with managed ingestion like Fivetran and know where it fits and where it breaks. You've led beyond your own work: as a tech lead on a multi-person project, mentoring engineers, running interview loops, or directing contractors or vendors. You explain clearly to engineers and non-engineers. You can walk an analyst through a modeling decision and a CFO through a metric definition. You're high agency. You set direction without waiting for a spec, make architecture calls, and write down your reasoning. Bonus Points You've rolled out ThoughtSpot or another search-driven BI tool. You've unleashed an autonomous agent in the wild, and built the fencing, monitoring and improvement loop around it. You've modeled data from Salesforce, NetSuite or HRIS platforms. You've prepared data for AI use cases: retrieval, agents or feature pipelines. You've worked in hospitality, events, real estate or another customer-centric, multi-location business. Compensation: The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions. Base Salary Range: $180,000 - $200,000 Total Target Compensation: $198,000 - $220,000 (includes base salary + annual incentive performance bonus) This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. We're Here For You: At Convene Hospitality Group, we want you to feel supported in every part of your life. Here's what you can expect: Health & Wellness: Day-one health coverage for you and your family, 24/7 virtual care, emotional well-being support, and fertility & family planning benefits. Because your well-being matters, inside and outside of work. Time Off & Balance: Generous PTO, your birthday off (because, of course!), paid parental leave, and a year-end holiday closure to recharge. Financial Growth: 401K with company match and support for education, courses, and certifications. We invest in you so you can grow personally and professionally. Development & Recognition: Ongoing career growth opportunities plus recognition programs to celebrate milestones. Community & Impact: Volunteer and give-back opportunities, and the chance to make a real impact in the work you do. At Convene Hospitality Group, we believe great teams are built by bringing together people with different backgrounds, perspectives, and experiences. Our values of GRIT (Genuine, Relentless, Integrity, and Teamwork) shape how we show up for each other every day. We want everyone here to feel welcome, supported, and free to be themselves. If you're excited to grow, learn, and make an impact, we'd love to have you on the team. Convene Hospitality Group is proud to be an equal opportunity employer. We welcome applicants of all backgrounds, experiences, and perspectives.
10/26/2026
Full time
Job Description Job Description Convene Hospitality Group (CHG) operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. The company designs, develops, and operates hospitality-driven destinations to host gatherings of all kinds, ranging from small corporate meetings to immersive brand activations and beyond. We love bringing people together in person, and that passion for great experiences extends to our employees as well. If you're interested in creating inspiring moments of connection, consider joining our team. Data Platform Lead We're hiring a hands-on Data Platform Lead, to join Convene Hospitality Group's (CHG) Technology organization.You'll own our data platform end to end, from architecture to how we model the business, and you'll manage the analytics engineers who build on it. Data platform modernization and AI-first development are top priorities, and this role sits at the center of both, working hand in hand with the product engineers whose systems create much of our data. Today, our marts mostly mirror the systems they come from. Salesforce data looks like Salesforce, NetSuite data looks like NetSuite. You'll reshape our models around how the business runs, organized by domain, and layer governed dashboards and conversational analytics on top. In one year, a finance lead, a venue GM, and an AI agent should all be able to ask a question in plain language and get the same trusted answer. Today we run Snowflake, dbt, and Fivetran. You'll help us rearchitect for where CHG is headed: building on Snowflake's native capabilities (semantic views, Cortex, and its agent tooling), rolling out ThoughtSpot, and filling gaps like observability. This is a hands-on management role, open to first-time managers. If you've led as a tech lead, mentored engineers, or directed contractors, you'll get direct coaching from a VP of Engineering who develops first-time leaders. Experienced managers who still want to build are welcome too. What You'll Do: Own the data platform end to end. Architecture, reliability, and roadmap from source to decision across Snowflake, dbt, and Fivetran. Move platform configuration from the UI into Terraform, in coordination with Cloud Infrastructure, so warehouses, roles, grants and connectors are versioned, reviewed and reproducible. Rethink how we model the business. Move us from source-shaped marts to domain-oriented models built around how CHG runs. Set the modeling standards, naming conventions and review practices the team builds on. Work backward from the business question. Partner with Finance, Sales, Operations and venue leadership to turn the questions they need answered into models, metrics and definitions they trust. Partner closely with product engineering. Work with product squads on schema design, data contracts, and upstream changes, so the platform and products evolve together. Own data quality and observability. Set the testing standards, contracts, and reconciliation checks that make our numbers trustworthy, and alert an owner before a stakeholder finds a broken dashboard. Own the metrics and BI layer. Roll out our BI tool and build the semantic layer behind governed dashboards in Snowflake semantic views, with certified metrics and shared definitions, so a number means the same thing everywhere it shows up. Bring conversational analytics online, safely. Stand up natural-language querying and agents on Snowflake's native tools, with the evals and guardrails that keep agent, dashboard, and human answers in sync. Govern the data. Access control, PII handling and accessible documentation across analytics and AI. Lead and grow analytics engineering. Manage and hire our analytics engineers, and direct the contractors we work with today. Coach through code review, pairing, and clear expectations. Keep your hands on the keyboard. Write dbt models, review PRs, debug pipelines and prototype new approaches. Expect to build a lot, especially early on. What We Look For: You have 7+ years in data engineering, analytics engineering or data architecture, including building a modern data platform that people rely on in production. You use AI agents for real multi-step work: building models, writing tests, debugging pipelines and documenting what exists. You write clear specs, give agents the right context, and verify what they produce against the real system. You're deep on dbt and Snowflake. You've designed project structure, testing strategy and warehouse performance at scale, and you manage the platform as code with Terraform or similar. You're fluent in data modeling and have moved a team from source-shaped models to business-shaped, domain-oriented marts, then seen the change through to adoption. You've built data quality and observability practices: tests, contracts, freshness monitoring and alerting that people trust. You've built a semantic layer and governed metrics that people trust, and you understand what it takes to make natural-language and agent-driven analytics accurate. You've worked with managed ingestion like Fivetran and know where it fits and where it breaks. You've led beyond your own work: as a tech lead on a multi-person project, mentoring engineers, running interview loops, or directing contractors or vendors. You explain clearly to engineers and non-engineers. You can walk an analyst through a modeling decision and a CFO through a metric definition. You're high agency. You set direction without waiting for a spec, make architecture calls, and write down your reasoning. Bonus Points You've rolled out ThoughtSpot or another search-driven BI tool. You've unleashed an autonomous agent in the wild, and built the fencing, monitoring and improvement loop around it. You've modeled data from Salesforce, NetSuite or HRIS platforms. You've prepared data for AI use cases: retrieval, agents or feature pipelines. You've worked in hospitality, events, real estate or another customer-centric, multi-location business. Compensation: The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions. Base Salary Range: $180,000 - $200,000 Total Target Compensation: $198,000 - $220,000 (includes base salary + annual incentive performance bonus) This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. We're Here For You: At Convene Hospitality Group, we want you to feel supported in every part of your life. Here's what you can expect: Health & Wellness: Day-one health coverage for you and your family, 24/7 virtual care, emotional well-being support, and fertility & family planning benefits. Because your well-being matters, inside and outside of work. Time Off & Balance: Generous PTO, your birthday off (because, of course!), paid parental leave, and a year-end holiday closure to recharge. Financial Growth: 401K with company match and support for education, courses, and certifications. We invest in you so you can grow personally and professionally. Development & Recognition: Ongoing career growth opportunities plus recognition programs to celebrate milestones. Community & Impact: Volunteer and give-back opportunities, and the chance to make a real impact in the work you do. At Convene Hospitality Group, we believe great teams are built by bringing together people with different backgrounds, perspectives, and experiences. Our values of GRIT (Genuine, Relentless, Integrity, and Teamwork) shape how we show up for each other every day. We want everyone here to feel welcome, supported, and free to be themselves. If you're excited to grow, learn, and make an impact, we'd love to have you on the team. Convene Hospitality Group is proud to be an equal opportunity employer. We welcome applicants of all backgrounds, experiences, and perspectives.
Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate's skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $120,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
10/26/2026
Full time
Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate's skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $120,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
Job Description Job Description Since 1958, DARPA has made pivotal investments in breakthrough technologies for national security. As the world changes dramatically - and even the pace of change itself increases - the agency seeks to engage the best minds and best ideas across specialties, communities, and disciplines to solve the greatest national security challenges on the horizon. DARPA brings together scientists, engineers, and tinkerers across the innovation ecosystem to push the bounds of technological possibility. The work we do is challenging by nature, but working with DARPA doesn't have to be. To make it happen, DARPA's program managers need highly skilled support contractors, broadly referred to as SETAs (Scientific Engineering and Technical Assistance) within DARPA. Often spanning programs, portfolios, and even offices in their impact, the SETAs help program managers chart and navigate the path toward groundbreaking discoveries. For the fortunate few who become part of the DARPA legacy, a time bound journey with the organization represents a unique and singular opportunity to alter the future. At DARPA, every day is a chance to make history. A chance to explore, discover, and invent. A chance to collaborate with pioneers in science and engineering contributing to an enduring mission. The Data Architect must have 8 years of demonstrated experience in data architecture, data engineering, or enterprise systems design. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.Experience working in defense, intelligence, or other high-security environments. Strong knowledge of database systems (SQL/NoSQL), data warehousing, and distributed data platforms. Familiarity with cloud platforms (AWS GovCloud, Azure Government, etc.). Knowledge of data governance, data modeling, and architecture frameworks (e.g., TOGAF, DoDAF). Ability to build and maintain DevSecOps CI/CD build pipelines. Active Top Secret clearance is required. Responsibilities will include, but are not limited to the following: Design and implement enterprise-level data architecture frameworks across defense systems and platforms Develop data models, standards, and governance policies to ensure consistency, quality, and integrity Integrate data from multiple classified and unclassified sources to support operational readiness and analysis Collaborate with cybersecurity teams to ensure compliance with security protocols and data protection regulations Support advanced analytics, AI/ML initiatives, and real-time data processing for research and strategic applications Establish metadata management, data lineage, and master data management practices Optimize data storage, retrieval, and processing for high-performance environments Lead data architecture reviews and provide technical guidance to engineering and analytics teams Ensure compliance with federal standards (e.g., DoD data strategy, security frameworks, interoperability requirements) Experience with big data technologies (Hadoop, Spark, Karka) Preferred Qualifications Background in AI/ML data pipelines and analytics infrastructure Familiarity with geospatial, signals, or intelligence data systems Certification in cloud architecture or data management (e.g., AWS Certified Solutions Architect, DAMA-CDMP) Experience with high-performance computing (HPC) Experience with Infrastructure as-Code practices Proficiency in SPARQL query language Strong familiarity with implementation techniques used in broad array of package managers (npm, pip, etc.) Familiarity with applying library science principles such as data catalog curation, reference interview, and Functional Requirements for Biblographic Records (FRBR) Strong operational knowledge of the architecture (not practice) of the World Wide Web and its semiological distinction between resources and their representations. Experience in applying Basic Formal Ontology (BFO) concepts within and among existing semi-mutable infrastructure to achieve quantified value add Active TS/SCI clearance.
10/26/2026
Full time
Job Description Job Description Since 1958, DARPA has made pivotal investments in breakthrough technologies for national security. As the world changes dramatically - and even the pace of change itself increases - the agency seeks to engage the best minds and best ideas across specialties, communities, and disciplines to solve the greatest national security challenges on the horizon. DARPA brings together scientists, engineers, and tinkerers across the innovation ecosystem to push the bounds of technological possibility. The work we do is challenging by nature, but working with DARPA doesn't have to be. To make it happen, DARPA's program managers need highly skilled support contractors, broadly referred to as SETAs (Scientific Engineering and Technical Assistance) within DARPA. Often spanning programs, portfolios, and even offices in their impact, the SETAs help program managers chart and navigate the path toward groundbreaking discoveries. For the fortunate few who become part of the DARPA legacy, a time bound journey with the organization represents a unique and singular opportunity to alter the future. At DARPA, every day is a chance to make history. A chance to explore, discover, and invent. A chance to collaborate with pioneers in science and engineering contributing to an enduring mission. The Data Architect must have 8 years of demonstrated experience in data architecture, data engineering, or enterprise systems design. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.Experience working in defense, intelligence, or other high-security environments. Strong knowledge of database systems (SQL/NoSQL), data warehousing, and distributed data platforms. Familiarity with cloud platforms (AWS GovCloud, Azure Government, etc.). Knowledge of data governance, data modeling, and architecture frameworks (e.g., TOGAF, DoDAF). Ability to build and maintain DevSecOps CI/CD build pipelines. Active Top Secret clearance is required. Responsibilities will include, but are not limited to the following: Design and implement enterprise-level data architecture frameworks across defense systems and platforms Develop data models, standards, and governance policies to ensure consistency, quality, and integrity Integrate data from multiple classified and unclassified sources to support operational readiness and analysis Collaborate with cybersecurity teams to ensure compliance with security protocols and data protection regulations Support advanced analytics, AI/ML initiatives, and real-time data processing for research and strategic applications Establish metadata management, data lineage, and master data management practices Optimize data storage, retrieval, and processing for high-performance environments Lead data architecture reviews and provide technical guidance to engineering and analytics teams Ensure compliance with federal standards (e.g., DoD data strategy, security frameworks, interoperability requirements) Experience with big data technologies (Hadoop, Spark, Karka) Preferred Qualifications Background in AI/ML data pipelines and analytics infrastructure Familiarity with geospatial, signals, or intelligence data systems Certification in cloud architecture or data management (e.g., AWS Certified Solutions Architect, DAMA-CDMP) Experience with high-performance computing (HPC) Experience with Infrastructure as-Code practices Proficiency in SPARQL query language Strong familiarity with implementation techniques used in broad array of package managers (npm, pip, etc.) Familiarity with applying library science principles such as data catalog curation, reference interview, and Functional Requirements for Biblographic Records (FRBR) Strong operational knowledge of the architecture (not practice) of the World Wide Web and its semiological distinction between resources and their representations. Experience in applying Basic Formal Ontology (BFO) concepts within and among existing semi-mutable infrastructure to achieve quantified value add Active TS/SCI clearance.
Job Description Job Description Description: Overview Client First Technologies currently is seeking a Data Architecture, Advanced in support of our government customer. The Data Architect (CSWF - Advanced) reviews and analyzes the organization's data infrastructure, designs data solutions, and leads database performance monitoring and optimization for the government customer. This is a hybrid remote work opportunity; the onsite location is Patuxent River, MD. CFT offers a full benefits package, a collaborative work environment, and a strong company culture. Veterans and military spouses are encouraged to apply. This position is contingent upon contract award. Requirements: Review and analyze the enterprise data infrastructure; plan future database architectures and implement solutions to store and manage data across the WARS platform and related systems Provide data architecture, strategy development, metadata management, and data governance support Prepare logical and physical database models including security policies and index strategies Provide data schema development, documentation, and data model development and integration support Assess, design, deploy, and sustain data architecture/framework aligned with government cloud and on-premise environments Perform continuous evaluation and architectural planning to integrate business systems and provide analytical data sets and reporting solutions Provide data engineering, security, and privacy support; ensure compliance with RMF requirements Qualifications All qualifications are required unless specifically marked as preferred. Meets the DCWF Work Role 422 (Data Management) Advanced qualification via one of: (a) Education qualification, (b) Training qualification, or (c) Certification qualification as defined in the DoD Cyber Workforce Framework () At least seven (7) years of experience performing work related to the labor category functional description, or meets the military equivalent OJT requirement Must achieve CSWF qualification no later than thirty (30) days after performance start date Physical Demands Must be able to sit and stand for extended periods of time Occasional travel and overtime may be required Required Clearances and Screenings This position is subject to a government background investigation and requires an active SECRET security clearance. Candidates with a current DoD Tier 3/NACLC or equivalent background investigation (e.g., Active Secret) are preferred.
10/26/2026
Full time
Job Description Job Description Description: Overview Client First Technologies currently is seeking a Data Architecture, Advanced in support of our government customer. The Data Architect (CSWF - Advanced) reviews and analyzes the organization's data infrastructure, designs data solutions, and leads database performance monitoring and optimization for the government customer. This is a hybrid remote work opportunity; the onsite location is Patuxent River, MD. CFT offers a full benefits package, a collaborative work environment, and a strong company culture. Veterans and military spouses are encouraged to apply. This position is contingent upon contract award. Requirements: Review and analyze the enterprise data infrastructure; plan future database architectures and implement solutions to store and manage data across the WARS platform and related systems Provide data architecture, strategy development, metadata management, and data governance support Prepare logical and physical database models including security policies and index strategies Provide data schema development, documentation, and data model development and integration support Assess, design, deploy, and sustain data architecture/framework aligned with government cloud and on-premise environments Perform continuous evaluation and architectural planning to integrate business systems and provide analytical data sets and reporting solutions Provide data engineering, security, and privacy support; ensure compliance with RMF requirements Qualifications All qualifications are required unless specifically marked as preferred. Meets the DCWF Work Role 422 (Data Management) Advanced qualification via one of: (a) Education qualification, (b) Training qualification, or (c) Certification qualification as defined in the DoD Cyber Workforce Framework () At least seven (7) years of experience performing work related to the labor category functional description, or meets the military equivalent OJT requirement Must achieve CSWF qualification no later than thirty (30) days after performance start date Physical Demands Must be able to sit and stand for extended periods of time Occasional travel and overtime may be required Required Clearances and Screenings This position is subject to a government background investigation and requires an active SECRET security clearance. Candidates with a current DoD Tier 3/NACLC or equivalent background investigation (e.g., Active Secret) are preferred.