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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 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 is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the Modern Disability Claims program. This role will focus on designing, building, and maintaining scalable data architectures that support claims intake, adjudication workflows, clinical and claims data integration, and performance analytics for the program. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems. Key Responsibilities Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs. Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources. Build and maintain cloud-based data platforms, data warehouses, and related infrastructure. Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives. Implement and maintain data governance, security, data quality, and integrity standards across data environments. Monitor and optimize database and data platform performance, scalability, reliability, and availability. Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement. Bachelor's degree in Computer Science, Systems Engineering, Data Science, or a related field. 3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design. Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive. Experience developing and automating large-scale data environments. Preferred Qualifications Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi. Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments. Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices. Experience supporting defense, healthcare, benefits administration, or other mission-critical federal programs. 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, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.

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 Description: Hybrid 3 daysi in mclean in McLean, VA Our client seeks a Data Architect to design and operationalize data solutions that support analytics, reporting, and stakeholder decision-making. The role will develop data pipelines and integrations on AWS, perform data validation and quality checks, and build automated reporting artifacts. The architect will manage project logistics, communicate status to senior leadership, and deliver clear documentation and presentations. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $65.00 to $80.00/hr. w2 Responsibilities: Design, build, and maintain data pipelines using Python, SQL, Spark, and Databricks. Develop automated Google Slides, Sheets, and Docs via Python, including charts and data tables. Create dashboards and visualizations in Tableau or AWS QuickSight. Implement system integrations, data validation, and quality checks. Analyze processes and tests, identify gaps, and produce remediation plans. Manage project workflow including meetings, agendas, notes, follow-ups, and status reporting. Communicate progress, risks, and insights to stakeholders up to senior director level. Experience Requirements: About 5 years of total experience, including at least 4 years of professional data analysis. At least 4 years of programming experience. At least 5 years with Python, SQL, or Spark, and Databricks. Experience automating Google Slides, Sheets, and Docs with Python. At least 1 year with Tableau or AWS QuickSight. Proficiency with AWS services and development. At least 1 year in people management or project management. Project management skills creating timelines, milestones, and deliverables. Strong presentation and communication skills. Customer-facing experience providing real-time project status updates. Fast learner and collaborative team player. Prior experience with Capital One preferred. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

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

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.

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 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 Job Description We are seeking a Hardware Engineer to join our team and be responsible for for designing, installing, and testing RF systems, with a focus on SATCOM components and devices operating in various frequency bands, including but not limited to C-band, X-band, Ku-band, Ka-band, and Q/V-band. This role does require OCONUS/CONUS travel. The primary functions of the Hardware Engineer position include: RF Design and Design, install, and test RF / SATCOM hardware (C , X , Ku , Ka , Q/V band) while accounting for atmospheric attenuation, ionospheric scintillation, rain fade, and polarization mismatch effects. Conduct site surveys, climb antennas, rack and align hardware, and operate earth terminal control consoles to establish and maintain wide band and satellite communication links. Perform preventive, scheduled, and corrective maintenance; troubleshoot on the spot malfunctions; apply anti jamming techniques and enforce safety/maintenance procedures. Use Keysight PNA X, FieldFox, Spec A, signal generators, oscilloscopes, and BER testers to measure S parameters, P1dB, TOI, NF, phase noise, group delay, and perform non linear analysis (IMD, spectral regrowth). Produce AutoCAD/Visio drawings, block diagrams, schematics, and technical design packages; Prepare engineering plans, as built documentation, test reports, and maintenance records; coordinate with cross functional teams (system architects, PMs, test sites). Travel up to 15 % worldwide to support installations, testing, and maintenance. Education/Experience Fourteen (14) years experience as a HE analyzing complex hardware systems for SIGINT solutions is required. Bachelor's degree in Communications Engineering, Computer Engineering, Computer Science, Electrical Engineering, Information Systems, Mathematics, or related discipline from an accredited college or university is required. Five (5) years of additional hardware engineering experience may be substituted for a bachelor's degree. Salary: $170,000-$190,000. This represents the typical salary range for this position, but is not guaranteed. Salary is based on experience, location and contractual requirements which could fall outside of the range listed. , Required Skills Hands on proficiency with Keysight PNA X, FieldFox, Spec A, RF signal generators, spectrum/network analyzers, oscilloscopes, and BER testers. Experience developing preventive maintenance schedules, conducting equipment inspections, and authoring safety rule documentation. Excellent written and verbal communication; capable of producing technical reports, engineering plans, and briefing packages for multi service audiences. Proven problem solving record: troubleshooting complex RF hardware, analyzing data printouts, implementing corrective actions that improve performance and maintainability. Leadership/mentoring ability: lead inspection teams, supervise maintenance activities, and train site personnel. Ability to carry equipment, climb antennas, and rack hardware. Knowledgeable of RF design, installation, and test, with a focus on SATCOM systems. , Desired Skills Master's degree in Electrical Engineering or similar field. Hands on proficiency with Keysight PNA X, FieldFox, Spec A, RF signal generators, spectrum/network analyzers, oscilloscopes, and BER testers. Expertise in AutoCAD, Visio (or equivalent) for creating schematics, block diagrams, and layout drawings. Strong ability to perform antenna pattern, G/T, and link budget analyses that incorporate rain fade, pointing error, and polarization mismatch considerations. Knowledge of RF distribution, RF Switching, low power amplifiers, power supplies, and BITE solutions. Programming/scripting skills in Python or VBA for instrument control, data acquisition, and API integration (e.g., automating PNA X measurements). Experience developing preventive maintenance schedules, conducting equipment inspections, and authoring safety rule documentation; familiar with Air Force, Army, Navy, and joint maintenance management procedures. Excellent written and verbal communication; capable of producing technical reports, engineering plans, and briefing packages for multi service audiences. Proven problem solving record: troubleshooting complex RF hardware, analyzing data printouts, and implementing corrective actions that improve performance and maintainability. Leadership/mentoring ability: lead inspection teams, supervise maintenance activities, and train site personnel. Commitment to continuous learning; staying current with emerging SATCOM technologies, standards, and communication techniques (ie. 5G, frequency reuse, etc.) , About Tensley Consulting, Inc. About TensleyTensley Consulting is a Service-Disabled Veteran-Owned Small Business focused on mission engineering in support of the United States Intelligence Community and the Department of Defense. Our team consists of System Engineers, Software Engineers, Test Engineers, and Signals Analysts performing work throughout the Continental United States (CONUS) and Outside the Continental United States (OCONUS). Equal Opportunity, Diversity InclusionWe aim to build a team that represents a variety of backgrounds, perspectives, and skills. We embrace inclusion and ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, military or veteran status, or any other personal characteristic. Benefits Include 100% paid medical coverage with HSA and company contribution 100% paid vision, dental, short-term, and long-term premium 12% 401(k) contribution (not a match) Education and training budget 6 weeks and 3 days of PTO And much more! Come grow with us!

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 Data Architect/Data Steward/SME Secret clearance required. 100% on-site Nationwide IT Services, NIS, is seeking a Data Architect / Data Steward / Subject Matter Expert (SME) who serves as the lead advisor on all aspects of enterprise data management. This potential opportunity provides strategic and technical leadership in data architecture, data stewardship, analysis, migration, modeling, integration, warehousing, database design, and cloud best practices. The SME researches and evaluates solutions, recommends improvements, and supports the organization in building secure, scalable, and efficient data environments aligned with current and future business needs. Key Responsibilities Serve as the SME for all aspects of enterprise data management, providing leadership in data architecture, stewardship, governance, migration, integration, warehousing, database design, and cloud best practices. Make recommendations for improvements to data processes, platforms, standards, and enterprise data strategy. Research, evaluate, and recommend solutions to support data management and cloud modernization efforts. Lead activities related to data analysis, data migration, validation, clean-up, and mapping to ensure data quality, integrity, and consistency across systems. Produce, maintain, and update data dictionaries and related metadata documentation. Provide technical support for research, experimentation, business analysis, and the use of systems technology, including architecture, integration capabilities, and database management. Provide technical and data leadership to application developers and IT infrastructure teams, while remaining aware of the future direction of systems and the impact on the enterprise. Advise on how current and future systems can be leveraged to support and benefit enterprise operations. Work closely with other IT groups to coordinate current and future IT plans and activities, including support for development projects involving the computing environment, software upgrades, and installation of new products. Recognize and identify areas where existing policies and procedures require revision, or where new policies and procedures should be developed, especially in support of future business expansion. Apply data management and cloud best practices to improve efficiency, security, maintainability, and enterprise value. Minimum Qualifications 10+ years of experience in data analysis, data migration tools, data modeling, data integration, data warehousing, and database design. 5+ years of experience addressing issues of data migration, validation, clean-up, and mapping, including producing and maintaining data dictionaries. 5+ years of experience providing technical support in research, experimentation, business analysis, and the use of systems technology, including architecture, integration capabilities, and database management. 5+ years of experience providing technical and data leadership for application developers and IT infrastructure, with an understanding of future systems direction, enterprise impact, and opportunities to leverage current and future technologies. 5+ years of experience working closely with other IT groups to coordinate current and future IT plans and activities, including technical assistance for development projects, coordination of software upgrades, and installation of new products. 5+ years of experience recognizing and identifying potential areas where existing policies and procedures require change, or where new policies and procedures need to be developed, especially regarding future business expansion. Work Location Work will be performed at DEA offices in Merrifield, VA; DEA Headquarters in Arlington, VA; and other offices deemed appropriate by the Government. Why Join Nationwide IT Services? Nationwide IT Services is a trusted government contractor supporting Department of Defense customers. We offer the opportunity to work on high-impact cybersecurity missions alongside experienced professionals in a collaborative and growth-focused environment. Powered by JazzHR UCgP0lyNbZ

Job Description Job Description PENDING CONTRACT AWARD: BY APPLYING TO THIS OPENING, YOU WILL BE ADDED TO A TALENT BANK OF INTERESTED PARTIES FROM WHICH WE WILL SELECT CANDIDATES FOR INTERVIEW AT A FUTURE DATE. IF YOU WISH TO BE CONSIDERED FOR OTHER/IMMEDIATE OPENINGS PLEASE APPLY TO ONE OF OUR OTHER CAREER LISTINGS. Description: The candidate reports to the CIO Services Task lead and manages a technical team embedded in a US Government partner site. This position leads cloud architecture and engineering, enterprise and data architecture, and DevSecOps initiatives. This role is a hybrid between an individual contributor, leading implementation by example, and the administrative oversight of 15-25 engineers - this position works collaboratively with project management teams for requirements prioritization and reporting. Location: Greater Baltimore Area Telework Status: No Telework Allowed Clearance Level Required: Top Secret + SCI Eligible Required Skills/Credentials: Be a US Citizen who actively holds a security clearance at the TS (Top Secret) level or higher Bachelors degree in one of the following: Computer Science, Computer Engineering, Electrical Engineering, Information Technology, Math, or Physics Minimum five years of post-graduate professional experience Minimum of one year of experience in the last three years leading and supervising teams Minimum of three years' experience in the last ten years with the building, operating, securing, defending, and extending network infrastructure Minimum of one years' experience in the last three years leading and supervising teams running a Continuous Integration/Continuous Deployment (CI/CD) pipeline utilizing modern approaches including containerization, micro-segmentation, and Infrastructure as Code Minimum of two years' experience in the last five years leading and supervising teams planning and executing migration of legacy systems into multi-cloud and hybrid-cloud environments Project Management Professional (PMP) certification Certification compliant with DoD 8570 IAT II (e.g., Security+) Desirable Skills/Credentials: Experience architecting and managing services in Amazon Web Services and Azure Experience architecting and managing services in on-premises and hybrid-cloud environments Experience with containerization and orchestration technologies such as Docker and Kubernetes Experience with Extract, Transform, Load (ETL) or similar data normalization and warehousing concepts Experience designing Data Lakes and Data Warehouses incorporating numerous data sources, ideally in AWS and Azure Experience with records management utilizing tools such as Microsoft SharePoint Proficiency with Microsoft Office products for efficient communication, reporting, and presentation Proficiency with architecture documentation tools such as Cameo, Visio, and Draw.io Experience integrating Artificial Intelligence into daily workflows for process improvement Certifications in Amazon Web Services and Azure (architecture-focused preferred) Certification compliant with DoD 8570 IAT III (e.g., CISSP) Benefits: Mission focused work environment Subsidized medical/dental/vision insurance HSA contributions 401k matching Holiday and Paid Time Off (PTO) Monthly WAN parties & quarterly events Flexible hours Remote work is not an option. We do offer relocation assistance. Please see our careers page or inquire with your recruiter about the terms and conditions. Salary and other Compensation: The hourly wage range is: $48.08 - $108.17 The salary range for this position is subject not only to the hire's skills, education, expertise, and years of experience, but also to features of the final position offered to the hire: including, but not limited to the location of the position, clearance required for the position, and the contract associated with the position. See our Perks & Benefits page for a general description of benefits and other potential compensation benefits: -benefits/ About Us: At Cipher Tech Solutions, Inc. (Cipher Tech), we take great pride in supporting some of the most mission critical work in the Department of Defense and the Intelligence Community. The majority of our company is comprised of extremely talented software developers who write production tools which directly support one of two missions: digital forensics and malware reverse engineering. Digital forensics is the practice of extracting and processing evidence from computers, phones, tablets, cameras, flash-drives, and just about any other form of digital media. The results of our work are then used to support federal and military law enforcement, counterintelligence, and counter terrorist activities. Malware reverse engineering is the practice of analyzing malicious code. The goal of a reverse engineer is to understand how the malicious code works and determine facts such as: How did it infect the victim's computer

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 Description: Company Description Citizant is a leading provider of professional IT services to the U.S. government. We seek to address some of our country's most pressing challenges in the areas of Agile application development, Enterprise Data Management, Enterprise Architecture, and Program Management support services - focusing on the U.S. Departments of Homeland Security and Treasury. We strive to hire only ethical, talented, passionate, and committed "A Players" who already align with the company's core values: Drive, Excellence, Reputation, Responsibility, and a Better Future. No matter how large we grow, Citizant will retain its collaborative, supportive, small-company culture, where successful team effort to address external and internal customer challenges is valued above all individual contributions. Job Description Join our remote team as a Senior Data Architect supporting a Chief Data Officer (CDO) organization. In this role, you will partner with federal clients to advance enterprise data management, data governance, and data modernization initiatives by identifying, analyzing, and documenting enterprise data assets and their relationships. The successful candidate will perform data-centric analysis of business applications and systems to develop metadata, document data lineage and data flows, and prepare data assets for onboarding into the enterprise data catalog. The ideal candidate has extensive hands-on experience analyzing existing systems and documenting data architectures through logical data models, metadata specifications, data lineage, and governance artifacts. This individual will collaborate with business and technical stakeholders across all organizational levels to identify business data sources, define and enrich metadata, and ensure enterprise data assets are accurately represented and discoverable within the enterprise data catalog. Responsibilities Perform data-centric analysis of enterprise applications, databases, application interfaces, and business processes to identify enterprise data assets, data relationships, and system dependencies. Analyze application architectures and data flows to document the movement, transformation, and consumption of data across enterprise systems. Develop, document, and maintain metadata, data dictionaries, logical data models, data lineage, and other data governance artifacts to support enterprise data management objectives. Prepare, validate, and curate metadata for onboarding into the enterprise data catalog, ensuring enterprise data assets are accurately described and discoverable. Collaborate with business stakeholders, system owners, data stewards, architects, and development teams to identify critical data assets, define metadata standards, and improve data asset visibility across the organization. Recommend enhancements to data governance processes, metadata management practices, and catalog capabilities to improve enterprise data literacy, user adoption, and information sharing. Maintain enterprise data definitions, data health metrics, reference data, and governance documentation to promote consistency, accuracy, and standardization across business domains. Perform AI data curation activities, including identifying, classifying, organizing, and enriching enterprise data assets to improve their readiness for AI, machine learning, and advanced analytics use cases. Translate complex data architectures and technical concepts into clear visualizations, presentations, and documentation tailored to technical, business, and executive audiences. Provide thought leadership and subject matter expertise on enterprise data management, metadata management, data cataloging, and data modernization best practices. Requirements: Required Skillset: Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or related field. 8 years of experience in data architecture, data analysis, data governance, or related technical domains. Expertise in data modeling and documenting enterprise systems. Hands-on experience curating and enriching enterprise data assets to improve data quality, discoverability, usability, and readiness for AI, machine learning, and advanced analytics. Experience collaborating with SMEs and technical teams to gather and document data requirements. Hands-on experience participating in Agile teams and workflows. Strong analytical, problem-solving, and documentation skills. Desired Skillset: Certifications such as DCAM, CDMP, or similar data architecture and engineering credentials. Master's degree in Computer Science, Information Systems, or related field. Expertise in using ER Studio for documenting logical data models. Experience utilizing GitHub to execute and document project management tasks. Security Requirements Active Public Trust security clearance or the ability to successfully obtain and maintain a Public Trust. U.S. Citizenship required. Citizant offers a competitive benefits package, including: Medical, dental, and vision insurance 401(k) Generous PTO Company-paid life and disability insurance Flexible Spending Accounts (FSA) Employee Assistance Program (EAP) Tuition Assistance & Professional Development Program Additional information Citizant strives to be an employer of choice in the Washington metropolitan area. Citizant associates accept challenging and rewarding work and in return receive excellent compensation and benefits, as well as the opportunity for personal and professional development. Citizant is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Job Description Job Description RiVidium Inc. is seeking a Senior Data Architect with expertise in data strategy, data governance, data modeling, and enterprise data architecture. This role is responsible for designing, implementing, and managing scalable data architectures that support organizational goals while ensuring data security, accessibility, and integrity. Key Responsibilities: Develop and implement enterprise data strategies, governance frameworks, and architecture standards Design, build, and manage scalable data architectures to support business and mission needs Collaborate with database administrators, analysts, and stakeholders to ensure efficient and secure data access Lead data modeling efforts, including conceptual, logical, and physical data models Define how data is stored, integrated, consumed, and managed across systems and applications Establish and maintain master data management (MDM) and metadata management practices Create data architecture artifacts, including diagrams, data inventories, and architectural roadmaps Ensure data architectures scale to meet increasing data demands and evolving business requirements Define data quality standards and business rules to support data integrity and usability Document and communicate the relationship between business objectives and IT data solutions Develop strategy documents, roadmaps, and business cases; support planning and implementation efforts Collaborate across teams to promote data-driven decision-making and architectural best practices Minimum Qualifications: Bachelor?s degree in Computer Science, Information Systems, or a related field Equivalent project-related experience may be considered in lieu of a degree Minimum of ten (10) years of IT experience, including at least five (5) years in information systems design Proven experience designing and implementing enterprise data architectures and information solutions Strong expertise in data modeling, data classification, and enterprise data architecture frameworks Experience with system integration, interface design, and web-based architecture approaches Knowledge of metadata management, data warehousing, business intelligence, and data governance practices Familiarity with cloud and hybrid data environments and distributed data management Understanding of modern data architectures, including microservices and event-driven architectures Strong analytical, problem-solving, and communication skills Core Competencies: Ability to translate business needs into scalable data solutions Strong conceptual thinking, pattern recognition, and problem-solving abilities Effective communication with executive leadership, business stakeholders, and technical teams Experience with design thinking and innovation methodologies Ability to quickly learn and apply new technologies and mentor team members Preferred Qualifications: Experience with enterprise data modeling tools Experience with cloud-managed data services (AWS, Azure, or similar) Hands-on experience implementing data governance and analytics programs 3?5 years of experience as a data analyst Prior experience with Department of Defense (DoD), Department of Navy (DoN), or law enforcement environments Familiarity with federal enterprise architecture frameworks and artifacts

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Position Summary The Data Governance Lead is responsible for establishing and managing the enterprise data governance framework supporting a Department of Defense (DoD) Security Cooperation platform. This role ensures that data across Security Cooperation programs-including Foreign Military Sales (FMS), Building Partner Capacity (BPC), Institutional Capacity Building (ICB), International Military Education and Training (IMET), Humanitarian Assistance, and Security Cooperation workforce development-is trusted, secure, discoverable, and actionable. The Data Governance Lead will develop governance policies, data standards, metadata management, taxonomy, master data management, and lifecycle processes that enable secure information sharing, artificial intelligence (AI), advanced analytics, and enterprise knowledge management. Working across functional and technical teams, the incumbent will facilitate governance councils, promote data stewardship, and ensure compliance with DoD cybersecurity, records management, and data strategy requirements. This position plays a critical role in transforming fragmented information into a strategic enterprise asset that supports decision-making, operational readiness, partner nation engagement, and institutional learning across the Security Cooperation enterprise. Essential Duties and ResponsibilitiesEnterprise Data Governance Develop and implement the enterprise Data Governance Framework for the Security Cooperation platform. Establish governance policies, standards, procedures, and operating models aligned with DoD data strategies. Lead governance activities that promote data quality, consistency, accessibility, and accountability. Develop governance maturity roadmaps and implementation plans. Facilitate cross-functional governance councils and working groups. Data Stewardship Identify and establish business and technical data steward roles across Security Cooperation organizations. Define stewardship responsibilities and decision-making authorities. Coordinate stewardship activities to resolve data ownership and quality issues. Promote accountability for enterprise data assets. Metadata & Taxonomy Management Develop and maintain enterprise metadata standards. Design and govern taxonomies, controlled vocabularies, ontologies, and tagging strategies. Ensure consistent classification of operational, instructional, and programmatic content. Support semantic search, AI-enabled discovery, and enterprise knowledge management. Data Quality Management Define enterprise data quality standards and performance metrics. Develop processes for monitoring data completeness, consistency, validity, accuracy, and timeliness. Lead root cause analysis and remediation of data quality issues. Implement dashboards and scorecards for governance performance. Knowledge Management Integration Collaborate with Knowledge Management teams to improve discoverability and reuse of Security Cooperation knowledge. Develop governance processes supporting AI-enabled search and enterprise knowledge repositories. Standardize document classification and information architecture. Enable organizational learning through structured information management. Master and Reference Data Management Establish governance for master data domains, including organizations, partner nations, personnel, programs, courses, authorities, funding sources, and capability areas. Develop enterprise reference data standards. Coordinate master data synchronization across systems. Data Architecture Collaboration Partner with enterprise architects and solution architects to align governance with technical architecture. Review solution designs to ensure compliance with governance standards. Support cloud-native data architectures within AWS environments. Ensure governance requirements are incorporated into system development lifecycles. AI Readiness & Information Management Prepare enterprise information assets for Generative AI, machine learning, and advanced analytics. Develop governance standards supporting Retrieval-Augmented Generation (RAG) architectures. Ensure structured metadata supports AI search accuracy and transparency. Establish governance for AI-generated content where appropriate. Security & Compliance Ensure compliance with the DoD Data Strategy, DoD Information Enterprise Architecture, Risk Management Framework (RMF), NIST SP 800-53, DoD Cloud Computing Security Requirements Guide (SRG), Federal Records Act, Controlled Unclassified Information (CUI) requirements, and information lifecycle management policies. Coordinate with cybersecurity teams to ensure governance supports secure information sharing. Stakeholder Engagement Lead governance workshops with Security Cooperation stakeholders. Build consensus across operational, educational, technical, and leadership communities. Present governance recommendations to senior government leadership. Develop governance documentation, policies, standards, and executive briefings. Success Measures Success in this role will be demonstrated by: Establishing a sustainable enterprise Data Governance Program adopted across Security Cooperation organizations. Improving data quality, consistency, and trust through measurable governance metrics. Implementing standardized metadata and taxonomy that significantly enhance information discoverability. Enabling AI-ready data and knowledge assets that support advanced search, analytics, and decision support. Increasing reuse of institutional knowledge through improved governance and content lifecycle management. Reducing duplicate, obsolete, and conflicting information across enterprise repositories. Achieving compliance with DoD data governance, records management, and cybersecurity requirements. Building an active network of data stewards who sustain governance practices across the enterprise. Work Environment The Data Governance Lead operates at the intersection of mission operations, enterprise technology, and organizational governance. This position requires collaboration with senior defense leaders, Security Cooperation practitioners, data architects, cybersecurity professionals, instructional designers, and knowledge management specialists to ensure that enterprise data is managed as a strategic asset. The role is central to enabling data-informed decision-making, AI-enabled knowledge discovery, and enterprise interoperability across the Security Cooperation community while supporting the Department of Defense's broader digital modernization objectives. Requirements Required Qualifications Hands-on experience establishing enterprise data governance and data stewardship models. 2+ years of experience in enterprise data management, data governance, or information management. Experience with AWS, Microsoft Purview, SharePoint Online, Power BI, and SQL. Experience with core data governance practices, including data governance frameworks, metadata management, data cataloging, data quality management, Master Data Management (MDM), information lifecycle management, business glossaries, data lineage, and information lifecycle governance. Experience facilitating governance councils or executive working groups. Active Secret Security Clearance. U.S. Citizenship and eligibility to work in the United States. Preferred Qualifications Bachelor's degree in Information Management, Data Science, Information Systems, Computer Science, Public Administration, International Relations, or a related field. 5+ years supporting Department of Defense or Federal Government programs. Experience supporting Security Cooperation organizations, including the Defense Security Cooperation Agency (DSCA), Geographic Combatant Commands, Military Departments, or Security Cooperation workforce development organizations. Experience supporting Foreign Military Sales (FMS), Security Assistance, Institutional Capacity Building (ICB), or Building Partner Capacity (BPC) programs. Knowledge of one or more governance standards or frameworks, including DoD Data Strategy, DoD Digital Modernization Strategy, Federal Data Strategy, DAMA-DMBOK, DCAM, or NIST data management guidance. Preferred certifications include Certified Data Management Professional (CDMP), DAMA Certified Data Management Professional, Certified Information Professional (CIP), Security+, Certified Information Systems Security Professional (CISSP), or Prosci Change Management Certification.

Job Description Job Description Company Description CapTech is a team of master builders, creators, and problem solvers who help clients grow efficient, successful businesses. We unite diverse skills and perspectives to transform how data, systems, and ingenuity enable each client to advance what's possible in a changing world. As perceptive partners, our U.S-based consultants find inspiration in the unknown and enjoy getting our hands dirty solving our clients' myriad of challenges. Across industries and business goals, we fuse technical depth and analytical prowess with creative savvy to move clients forward. This drive helps each organization use technology, management, and insight to turn ideas into action. Together, we create outcomes that exceed the expected - which is one of the reasons we've been on the Inc. 500/5000 list for over a decade. 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 Motivating and developing staff through teaching, empowering, and influencing technical and consulting "soft" skills Collaborating with client stakeholders and development staff to ensure data architecture recommendations maximize the value of client data across the organization Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects 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 5+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Demonstrated 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 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 Familiarity with recommending data governance best practices including MDM, security, privacy and policies 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. 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. 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 - $200,000k. 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.