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McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. As a Senior Software Engineer, Identity & Access Management, you will build and modernize the authentication and authorization capabilities that protect McKesson's healthcare technology platforms. This is a hands-on software engineering role focused on modern identity architecture, secure application development, and infrastructure automation. You will help migrate applications and identity capabilities from legacy authentication systems to modern identity platforms such as Okta while engineering identity infrastructure through Infrastructure as Code (IaC), including Terraform. You will own complex identity capabilities from technical design through implementation, testing, deployment, and production support, while helping establish scalable patterns that other engineering teams can adopt. What You'll Do Design, develop, test, and deploy secure authentication and authorization capabilities, including SSO, MFA, federation, provisioning, and identity lifecycle integrations. Lead the technical migration of applications and user populations from legacy authentication and directory systems to Okta or comparable modern identity platforms. Build and maintain identity infrastructure using Terraform and Infrastructure as Code, establishing reusable, version-controlled patterns for identity configuration and deployment. Design and implement identity integrations using OAuth 2.0, OpenID Connect (OIDC), SAML, and SCIM. Develop secure services, APIs, and integrations that support authentication, authorization, provisioning, and identity workflows. Partner with application engineers, architects, product owners, and security teams to translate identity and access requirements into scalable technical solutions. Integrate identity configuration and security controls into CI/CD pipelines, including automated testing and deployment practices. Review code and technical designs with particular attention to authentication and authorization correctness, secrets management, session handling, and secure engineering practices. Diagnose complex production identity issues involving tokens, sessions, federation, provisioning, application integrations, and access policies. Contribute to the architecture and roadmap for consolidating identity capabilities and retiring legacy authentication technologies. Mentor engineers on secure software development, identity patterns, IaC practices, and authentication architecture. Create clear technical documentation, identity-flow diagrams, deployment patterns, and operational runbooks. Partner with security, risk, and compliance teams to build identity solutions appropriate for a regulated healthcare environment. Minimum Qualifications Degree or equivalent and typically requires 7+ years of relevant experience Critical Skills 5+ years of professional software engineering experience, including ownership of production applications, services, platforms, or distributed systems. 2+ years of hands-on identity, authentication, authorization, or security engineering experience. Strong programming experience in at least one language such as Java, C#, Python, or a comparable object-oriented/backend language. Production experience integrating applications with a modern identity provider such as Okta, Microsoft Entra ID, Auth0, Ping Identity, or a comparable platform. Hands-on experience with OAuth 2.0, OpenID Connect (OIDC), and SAML in production systems. Experience modernizing or migrating applications from legacy authentication technologies such as LDAP, Active Directory, SiteMinder, or custom authentication services. Hands-on experience using Terraform to provision and manage infrastructure or platform configuration as code, including reusable modules, source control, review, testing, and deployment practices. Experience building or supporting REST APIs, microservices, or distributed applications in security-sensitive production environments. Experience with modern CI/CD and automated software-delivery practices. Experience implementing secure engineering practices involving authentication, authorization, secrets, sessions, or access controls. Preferred Qualifications Deep hands-on experience with Okta, including SSO, MFA, lifecycle management, provisioning, policies, and application integrations. Experience managing Okta configuration through Terraform. Experience with SCIM-based provisioning and identity lifecycle automation. Experience with AWS, Azure, or GCP. Experience with Docker, Kubernetes, or other cloud-native technologies. Experience working with relational or NoSQL persistence technologies used in distributed applications. Experience with identity-related threat modeling, Zero Trust, least-privilege, or policy-based access controls. Experience building software in healthcare, financial services, insurance, life sciences, or another regulated environment. Familiarity with regulatory or security frameworks such as HIPAA, SOC 2, or comparable controls. Okta certification or equivalent identity-platform certification. What Success Looks Like In this role, you will: Deliver secure, production-ready identity capabilities that engineering teams can reliably integrate with. Increase the use of repeatable, version-controlled Terraform/IaC patterns for identity configuration rather than relying on manual platform administration. Successfully move applications and identity capabilities away from legacy authentication technologies without compromising application availability or access. Establish reusable authentication, authorization, federation, and provisioning patterns that reduce one-off identity implementations. Improve the reliability, maintainability, and security of identity integrations through automated testing, CI/CD, documentation, and operational standards. Become a technical resource for engineers working through complex authentication and authorization problems We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $131,000 - $218,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

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 Data Architect - Washington, DC About us Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II. Join us in driving growth and seizing new business opportunities. Role and Responsibilities Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. Participate in the development of future-state data architecture standards, guidelines, and principles. Minimum Qualification Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. Experience migrating workflows and data pipelines between on-premises and cloud environments. Experience processing, analyzing, and integrating structured and unstructured data sources. Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. Excellent oral and written communication skills with a strong customer service orientation. Exceptional analytical, problem-solving, and troubleshooting skills. Preferred Qualification Understanding of time series data and related analytical and forecasting techniques. Experience working in a research environment and/or with economic or financial data. Experience with NoSQL and graph database technologies. Experience developing, training, deploying, and maintaining machine learning models. Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. Experience implementing and maintaining CI/CD pipelines and DataOps platforms. Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl.

Job Description Job Description Position Summary The Data Architect will lead the design and governance of data systems that enable analytics and secure data sharing across the organization. This role ensures data structures and platforms support mission-critical operations while maintaining compliance with federal security standards. A central part of the job is reconciling data that arrives in inconsistent forms - relational SQL databases, Microsoft Dataverse, spreadsheets, and unstructured documents and files - into unified enterprise data models that the organization's cloud and analytics platforms can build on with confidence. This is a hands-on architecture role: the Data Architect is expected to both design the enterprise data models and build the pipelines, semantic layers, and governance artifacts - in Databricks, Power BI, Tableau, and related platforms - that put those models into production. Responsibilities Define enterprise data models, standards, and governance frameworks that unify data originating from SQL databases, Microsoft Dataverse, spreadsheets, unstructured documents, and other varying source formats into consistent, reusable structures. Lead cloud data migration and integration initiatives, including ingestion and transformation pipelines built in Databricks and comparable ETL/ELT tooling. Automate data loading, cleansing, and validation routines to reduce manual data preparation and ensure incoming data consistently meets quality standards before it reaches downstream models. Design and schedule automated refresh workflows (Databricks Jobs/Workflows or equivalent orchestration) so source data, transformations, and downstream datasets stay current without manual intervention. Build and optimize Databricks pipelines using Delta Lake, PySpark/SQL notebooks, and medallion (bronze/silver/gold) architecture patterns to structure raw, cleansed, and analytics-ready data layers. Apply performance tuning and cost-optimization practices (cluster sizing, job scheduling, partitioning, caching) to keep automated pipelines efficient and reliable at scale. Ensure compliance with NIST and other applicable federal data security requirements across all data architecture, storage, and access design decisions. Collaborate with developers, analysts, and system engineers to optimize data architecture and resolve inconsistencies between source systems. Provide technical guidance on best practices for data quality, storage, and retrieval, including canonical entity definitions so the same data concept is represented consistently across every downstream system. Design and curate semantic and reporting layers (data marts, shared datasets, modeled views) that feed Power BI, Tableau, and other visualization platforms, so metrics are defined once and reused consistently across dashboards. Assess the lineage, quality, and structure of existing data sets prior to modeling; identify gaps, redundancies, and conflicting definitions across systems. Document architecture decisions, data flows, and system integrations, and mentor other technical staff on data modeling standards as the practice matures. Qualifications Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred). 8+ years of experience in data architecture or data engineering, including experience building enterprise-level data models spanning multiple, varying source systems. Proficiency with SQL and cloud data platforms (AWS GovCloud, Azure Gov). Hands-on experience with Databricks (or a comparable Spark-based/lakehouse platform) for data pipeline development, including PySpark/SQL notebooks, Delta Lake, and job/workflow orchestration for automated, scheduled data refreshes. Experience modeling and integrating data from Microsoft Dataverse or similar low-code/Power Platform data stores. Practical experience preparing data models for Power BI and/or Tableau consumption, including semantic layer and shared dataset design. Demonstrated ability to work with messy, inconsistent, or unstructured data (spreadsheets, documents, file exports) and bring it into a governed enterprise structure. Demonstrated experience automating data ingestion, cleansing, and refresh processes end-to-end, minimizing manual data preparation and keeping downstream datasets current on a defined schedule. Strong knowledge of data governance frameworks and compliance requirements, including NIST and other federal data security standards. Excellent problem-solving and communication skills, with the ability to explain technical data concepts to non-technical stakeholders. Preferred Qualifications Experience supporting a federal civilian agency contract, including familiarity with agency-specific data-handling and security requirements. Familiarity with SharePoint Online, Power Automate, and the broader Microsoft 365 / Power Platform data ecosystem. Experience with master data management (MDM) tools or practices. Experience with Databricks Unity Catalog, CI/CD for data pipelines, or infrastructure-as-code approaches to managing Databricks workspaces and jobs. Relevant certifications such as Databricks Certified Data Engineer, AWS Certified Data Analytics, or Microsoft Certified: Azure Data Engineer Associate. Job Posted by ApplicantPro

Job Description Job Description Candidates must possess US Citizenship with the ability to gain a government security clearance. About Infinitive: Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named "Best Small Firms to Work For" by Consulting Magazine 9 times most recently in 2026. Infinitive has also been named a Washington Post "Top Workplace", Washington Business Journal "Best Places to Work", and Virginia Business "Best Places to Work." Job Summary: We are seeking a highly skilled Data Engineer with extensive experience in Databricks on AWS or Azure to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable data architectures, ensuring data integrity, and optimizing data flow and collection. This role requires a deep understanding of cloud-based data solutions and strong expertise in leveraging Databricks to drive data initiatives. Key Responsibilities: Design, develop, and implement data architectures and solutions on Databricks in both AWS and Azure. Collaborate with stakeholders to understand business requirements and translate them into technical specifications. Develop and maintain ETL processes to ensure efficient data flow and integration across systems. Ensure data quality, integrity, and security in all data-related activities. Optimize data storage and retrieval strategies to improve performance and cost-efficiency. Lead the implementation of data governance policies and procedures. Provide technical guidance and mentorship to data engineering teams. Stay updated with the latest industry trends and best practices in data architecture, Databricks, cloud data warehouses, AWS and Azure. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Proven experience as a Data Architect, with a strong focus on Databricks. Proficiency in Databricks, including the ability to build and optimize Spark applications. Extensive experience with AWS services such as S3, Redshift, EMR, Lambda, Glue, and others. Strong knowledge of Unity Catalog and its application in managing and securing data assets. Strong knowledge of data modeling, ETL processes, and data warehousing concepts. Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark). Familiarity with data governance and data security practices. Databricks Certified Professional. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: AWS Certified Solutions Architect or similar certification. Experience with other cloud platforms (e.g., Azure, GCP). Knowledge of machine learning and data science concepts. Experience with data visualization tools (e.g., Tableau, Power BI). Prior experience in a leadership or mentorship role. Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $124,000 - $190,00.00. Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Powered by JazzHR AofA1xu3Et

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 Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $120,000 to $200,000.

Job Description Job Description Data Architect/Program Lead Client: Federal Bureau of Investigation (FBI) Location: Clarksburg, WV / Remote U.S. Salary: $180,000 - $200,000 Based on experience and technical interview. Employment Type: W2 + Benefits Citizenship: U.S. Citizen Clearance: Active Secret or above Position Overview Fathom Management is seeking a Data Architect/Program Lead to support the FBI in designing, implementing, and governing enterprise-scale data solutions. This role combines hands-on data architecture with technical leadership, with a particular emphasis on cloud-based data platforms, data mesh architecture, data governance, data products, and scalable ETL infrastructure . The successful candidate will work across data domains and stakeholder groups to ensure data architecture supports analytics, self-service capabilities, data discoverability, and long-term organizational objectives. This position is primarily remote, with periodic onsite requirements at the FBI CJIS facility in Clarksburg, WV for equipment pickup and in-person meetings as needed. Candidate Verification Notice For your protection and ours, Fathom Management conducts a brief candidate verification at the beginning of the screening process. Because we support State and Federal Government clients, this verification helps protect your identity, résumé, and application from unauthorized use and confirms that we are speaking directly with the individual who applied for the position. You may be asked to provide a photo of a government-issued identification document as part of this verification. Video verification may also be required. Identification is used solely for candidate verification and will be handled in accordance with Fathom Management's privacy and security practices. Current Technical Architecture Experience Candidates should have recent hands-on experience with: Enterprise data architecture Data lakes and data warehouses Data mesh architecture and decentralized data management AWS cloud-based data platforms ETL/ELT pipeline design and implementation AWS S3, Redshift, Glue, Lake Formation, and Lambda Data governance, access controls, privacy, lineage, and data quality Data catalogs and data discoverability Domain-specific data products Schema design, data transformation, and storage architecture Agile delivery using Scrum, Kanban, Jira, Confluence, and/or SAFe Technical leadership and mentoring of data engineering teams Required Qualifications 8+ years designing and implementing data architectures. Experience with large-scale data environments, including data lakes, data warehouses, and/or data mesh frameworks . 5+ years working with cloud-based data platforms such as AWS, Azure, or Google Cloud for data storage, processing, and analytics. Hands-on experience designing and implementing ETL/ELT pipelines . Experience with AWS data services, particularly S3, Redshift, Glue, Lake Formation, and Lambda . Experience implementing or supporting data governance , including privacy, access controls, data lineage, data integrity, and discoverability. Experience with data catalogs and governance tooling . Experience designing or supporting domain-specific data products . 2+ years leading and mentoring data engineering teams. Strong stakeholder communication and technical leadership skills. Experience working in an Agile environment using Scrum, Kanban, Jira, Confluence, and/or SAFe . Active Secret clearance or above . Ability to work remotely and travel to the FBI CJIS facility in Clarksburg, WV when required. U.S. Citizenship. Education Bachelor's or master's degree in Computer Science, Information Systems, Data Engineering, or a related technical field preferred. Preferred Qualifications Direct experience implementing data mesh architecture in an enterprise environment. Experience establishing decentralized data ownership and domain-oriented data products. Experience with AWS Lake Formation and enterprise data governance. Experience automating data governance and catalog workflows. Experience supporting self-service analytics environments. Experience developing organizational training for data stewards and data users. Federal or other regulated-environment experience. Experience working in SAFe organizations. Key Responsibilities Participate in planning, definition, and high-level design of enterprise data solutions. Evaluate architectural alternatives and emerging data technologies. Design and maintain scalable cloud-based data infrastructure. Design and implement ETL pipelines using AWS services including S3, Redshift, Glue, Lake Formation, and Lambda. Collaborate with data domain teams to design and deploy domain-specific data products. Establish and enforce data governance standards across organizational data assets. Maintain data catalogs and governance tooling. Automate governance workflows supporting data integrity and discoverability. Lead implementation and ongoing support of data mesh architecture. Ensure availability and reliability of Data Mesh software and supporting infrastructure. Guide organizational adoption of data mesh principles. Develop and deliver training for data stewards, users, and technical teams. Align technical data architecture with business and analytics objectives. Lead and mentor data engineering resources. Participate in Agile ceremonies and delivery processes. Provide team-specific technical training as needed. What Makes Someone Successful Someone successful in this role will combine enterprise data architecture depth with practical cloud engineering and technical leadership . The strongest candidates will be able to explain not only what data technologies they have used, but how they personally designed the architecture, implemented the pipelines, established governance, supported data domains, and led engineering teams . Benefits Overview Fathom Management offers full-time employees a comprehensive and competitive benefits package, including: Paid vacation, sick leave, and holidays Medical, dental, and vision insurance Life insurance Short- and long-term disability insurance 401(k) retirement plan with company match and immediate vesting Military leave Professional training and development Tuition reimbursement Employee wellness program Commuter benefits And more Equal Employment Opportunity Fathom Management is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. All employment decisions are made without regard to race, color, religion, creed, national origin, sex, age, marital status, sexual orientation, gender identity, citizenship status, veteran status, disability, or any other characteristic protected by applicable federal, state, or local law.

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate's skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $120,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Job Description Since 1958, DARPA has made pivotal investments in breakthrough technologies for national security. As the world changes dramatically - and even the pace of change itself increases - the agency seeks to engage the best minds and best ideas across specialties, communities, and disciplines to solve the greatest national security challenges on the horizon. DARPA brings together scientists, engineers, and tinkerers across the innovation ecosystem to push the bounds of technological possibility. The work we do is challenging by nature, but working with DARPA doesn't have to be. To make it happen, DARPA's program managers need highly skilled support contractors, broadly referred to as SETAs (Scientific Engineering and Technical Assistance) within DARPA. Often spanning programs, portfolios, and even offices in their impact, the SETAs help program managers chart and navigate the path toward groundbreaking discoveries. For the fortunate few who become part of the DARPA legacy, a time bound journey with the organization represents a unique and singular opportunity to alter the future. At DARPA, every day is a chance to make history. A chance to explore, discover, and invent. A chance to collaborate with pioneers in science and engineering contributing to an enduring mission. The Data Architect must have 8 years of demonstrated experience in data architecture, data engineering, or enterprise systems design. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.Experience working in defense, intelligence, or other high-security environments. Strong knowledge of database systems (SQL/NoSQL), data warehousing, and distributed data platforms. Familiarity with cloud platforms (AWS GovCloud, Azure Government, etc.). Knowledge of data governance, data modeling, and architecture frameworks (e.g., TOGAF, DoDAF). Ability to build and maintain DevSecOps CI/CD build pipelines. Active Top Secret clearance is required. Responsibilities will include, but are not limited to the following: Design and implement enterprise-level data architecture frameworks across defense systems and platforms Develop data models, standards, and governance policies to ensure consistency, quality, and integrity Integrate data from multiple classified and unclassified sources to support operational readiness and analysis Collaborate with cybersecurity teams to ensure compliance with security protocols and data protection regulations Support advanced analytics, AI/ML initiatives, and real-time data processing for research and strategic applications Establish metadata management, data lineage, and master data management practices Optimize data storage, retrieval, and processing for high-performance environments Lead data architecture reviews and provide technical guidance to engineering and analytics teams Ensure compliance with federal standards (e.g., DoD data strategy, security frameworks, interoperability requirements) Experience with big data technologies (Hadoop, Spark, Karka) Preferred Qualifications Background in AI/ML data pipelines and analytics infrastructure Familiarity with geospatial, signals, or intelligence data systems Certification in cloud architecture or data management (e.g., AWS Certified Solutions Architect, DAMA-CDMP) Experience with high-performance computing (HPC) Experience with Infrastructure as-Code practices Proficiency in SPARQL query language Strong familiarity with implementation techniques used in broad array of package managers (npm, pip, etc.) Familiarity with applying library science principles such as data catalog curation, reference interview, and Functional Requirements for Biblographic Records (FRBR) Strong operational knowledge of the architecture (not practice) of the World Wide Web and its semiological distinction between resources and their representations. Experience in applying Basic Formal Ontology (BFO) concepts within and among existing semi-mutable infrastructure to achieve quantified value add Active TS/SCI clearance.

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 Mission Summary This Data Architect role provides principal-level advisory and thought leadership to senior DARPA executives, including the Chief Information Security Officer (CISO) and senior ITD Staff. As a Data Architect, you will be a key strategic resource, shaping the agency's approach to cybersecurity across its most advanced and sensitive technology portfolios. You will operate with a high degree of autonomy to provide strategic foresight, critical technical analysis, and authoritative guidance, ensuring that security is an enabler of innovation for DARPA's high-risk, high-reward programs. The Data Architect is responsible for designing, developing, and managing enterprise data architecture to support strategic research, operations, analytics, and mission-critical decision-making. This role ensures that data systems are secure, scalable, interoperable, and aligned with national security objectives. Key Responsibilities Design and implement enterprise-level data architecture frameworks across defense systems and platforms Develop data models, standards, and governance policies to ensure consistency, quality, and integrity Integrate data from multiple classified and unclassified sources to support operational readiness and analysis Collaborate with cybersecurity teams to ensure compliance with security protocols and data protection regulations Support advanced analytics, AI/ML initiatives, and real-time data processing for research and strategic applications Establish metadata management, data lineage, and master data management practices Optimize data storage, retrieval, and processing for high-performance environments Lead data architecture reviews and provide technical guidance to engineering and analytics teams Ensure compliance with federal standards (e.g., DoD data strategy, security frameworks, interoperability requirements) Required Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field 8+ years of experience in data architecture, data engineering, or enterprise systems design Experience working in defense, intelligence, or other high-security environments Strong knowledge of database systems (SQL/NoSQL), data warehousing, and distributed data platforms Familiarity with cloud platforms (AWS GovCloud, Azure Government, etc.) Knowledge of data governance, data modeling, and architecture frameworks (e.g., TOGAF, DoDAF) Active security clearance (e.g., Secret or Top Secret) or ability to obtain one Preferred Qualifications Experience with big data technologies (Hadoop, Spark, Kafka) Background in AI/ML data pipelines and analytics infrastructure Familiarity with geospatial, signals, or intelligence data systems Certifications in cloud architecture or data management (e.g., AWS Certified Solutions Architect, DAMA-CDMP) Experience with high performance computing (HPC) Active TS/SCI clearance Core Competencies Strategic thinking and systems-level design Strong analytical and problem-solving skills Ability to operate in high-pressure, mission-critical environments Excellent communication and cross-functional collaboration Commitment to data security, ethics, and confidentiality Work Environment This position may operate in secure government facilities and requires adherence to strict information security protocols. Some travel may be required to support operations and interagency coordination. Impact of Role The Data Architect plays a critical role in enabling data-driven research and support operations, enhancing situational awareness, and ensuring that decision-makers have timely, accurate, and secure access to information. Salary range for the position is $150,000 - $250,000 per year. Specific compensation will be determined by several factors including experience, education, skills, and knowledge. We also offer medical/dental/vision benefits and 401k contribution. Blue Sky Innovators, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are a qualified job seeker with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access as a result of your disability. To request an accommodation, please email us at and provide your name and contact information. Please note: this is only for job seekers with disabilities requesting an accommodation.

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate's skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $120,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Job Description 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 8 times most recently in 2025. 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 / Architect 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: U.S. Citizenship or Green Card Required: Due to the secure nature of the project, candidates must be U.S. citizens or lawful permanent residents. 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. Active Databricks Professional certification 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 $170,000.00- $215,000.00. 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 quthfX4Mkp

Job Description Job Description Data Architect Job ID: 26-1120 Clearance: Top Secret with SCI eligibility Location: DC Metro Who We Are: Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we've served as trusted advisors supporting our client base within the commercial, federal, and state and local markets. What We Do: At our very core, we're a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions. What You'll Do: The Data Architect develops enterprise data architectures, governance frameworks, and data integration strategies supporting analytics, AI/ML, and enterprise modernization objectives. Responsibilities will include but are not limited to: Develop enterprise data reference architectures and integration frameworks Define metadata, master data, and data exchange standards. Design AI/ML data governance frameworks and feature store architectures. Establish training data lineage, provenance tracking, and metadata registries. Define architectures supporting synthetic data generation and cross-domain data sharing. Support implementation of data governance and compliance requirements. Develop data architecture roadmaps and modernization strategies. What You'll Need: Active Top Secret (TS) security clearance with SCI eligibility. Bachelor's degree in Computer Science, Engineering, Data Science, or related field, Master preferred 8+ years of cloud architecture experience. Experience with AWS, Azure, or multi-cloud platforms. Understanding of enterprise networking, cybersecurity, and cloud governance. Experience producing architecture documentation and technical standards. Ability to obtain and maintain required security clearance. Set Yourself Apart With: Experience with AI/ML data management and governance. Familiarity with cloud-native data platforms. Industry certifications in data architecture or governance. CDMP (Certified Data Management Professional) or equivalent preferred. AWS or Azure data specialty certification preferred Salary Range: $120k - $147k The salary range listed reflects our standard market pay structure. Final compensation will be determined based on multiple factors, including, but not limited to, the candidate's unique qualifications, skills required for the position, professional experience, education, and business needs, at the time of hire. Equal Employer/Veterans/Disabled Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources. Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas. Powered by JazzHR deOlFr9Mxu

Job Description Job Description Overview Data Architect Arlington, VA Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! We deliver essential technology services to our customers in support of their missions to sustain the national security and economic interests of our nation. SecuriGence is seeking an experienced Data Architect to support the SAGE Team's architecture and modernization efforts within the Defense Advanced Research Projects Agency (DARPA) Information Technology Directorate (ITD) environment. The SAGE Team provides architectural support for on premises and multi-cloud enterprises operating across Amazon Web Services (AWS) and Microsoft Azure environments, including Impact Level 4 (IL4) and Impact Level 6 (IL6) as well as SAP workloads. The environment currently includes relational database platforms, Microsoft SQL Server, and AWS Relational Database Service (RDS). The Data Architect will lead the development and execution of a modern data architecture strategy that improves scalability, resiliency, security, automation, interoperability, and operational efficiency for both structured and unstructured data assets across the DARPA environment. A central focus of the role is guiding the transition from infrastructure-as-a-service (IaaS)-based database deployments to secure, containerized and platform-oriented data solutions where operationally appropriate while also rationalizing and organizing disparate data sources (including legacy databases, file shares, and ad hoc research data stores) into governed, cataloged, and analytically usable forms. Help us solve problems with Innovation Through Intelligence. Responsibilities Develop and maintain the target-state data architecture, roadmap, standards, and reference patterns for DARPA ITD multi-cloud environments. Assess existing relational database platforms, including Microsoft SQL Server and AWS RDS as well as other data stores such as shared file systems and ad hoc research repositories, and develop modernization recommendations for performance, availability, security, lifecycle management, and cost optimization. Design secure, scalable, highly available, and resilient data solutions supporting AWS, Azure, IL4, and IL6 environments. Lead architecture decisions related to database modernization, containerized database platforms, managed database services, data replication, backup and recovery, disaster recovery, and cross-environment data integration including patterns for integrating data from legacy file shares and heterogeneous research data sources into enterprise data platforms. Define architectural patterns for transitioning appropriate database workloads from traditional IaaS deployments to container-based solutions, including Kubernetes-based platforms. Establish data architecture standards for database provisioning, configuration management, schema management, data lifecycle management, encryption, auditing, logging, monitoring, and operational support. Partners with cloud architects, cybersecurity personnel, infrastructure engineers, application teams, DevSecOps engineers, and program stakeholders to align data solutions with enterprise architecture and mission requirements. Ensure data platform designs support applicable DoW cybersecurity, risk-management, security-control, identity, access-control, logging, and continuous-monitoring requirements. Develop Infrastructure as Code (IaC), automation, and repeatable deployment patterns for database and data-platform services. Evaluate commercial cloud-native, open-source, and government-approved data technologies; prepare technical recommendations, trade studies, decision papers, and implementation plans. Support architecture reviews, technical design reviews, modernization of working groups, and senior-leader briefings. Develop technical documentation, including data models, logical and physical data architectures, interface specifications, operating procedures, reference architectures, and migration plans. Provide technical leadership and mentorship to engineers and administrators supporting database and data-platform operations. Other duties as assigned. Qualifications Bachelor's degree in computer science, Information Systems, Engineering, Data Management, or a related technical field; equivalent relevant experience may be considered. 10+ years of progressive experience in data architecture, database engineering, database administration, cloud architecture, or related technical roles. 5+ years of experience designing, implementing, and supporting enterprise relational database solutions. Demonstrated experience with AWS RDS and AWS-native database services. Experience designing and supporting cloud-based data solutions in AWS and/or Microsoft Azure. Experience with database modernization initiatives, including migration from legacy or IaaS-hosted databases to managed, cloud-native, or containerized platforms. Experience with container technologies and orchestration platforms, such as Docker, Kubernetes, Amazon Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), OpenShift, or equivalent platforms. Experience implementing DevSecOps practices, CI/CD pipelines, Infrastructure as Code, and configuration-management practices in enterprise environments. Experience consolidating and modernizing fragmented organizational data (e.g., legacy databases, file shares, document repositories, research data sets) into governed, cataloged, and analytically ready platforms (such as data warehouses, data lakes, or lake houses). Security certifications such as Certified Data Management Professional (CDMP), CISSP, CCSP, or equivalent DoD Top Secret clearance with ability to obtain SCI Preferred Qualifications Experience supporting DARPA, DoW, Intelligence Community, or other federal national-security environments. Experience supporting IL4, IL5, IL6, classified, or similarly controlled cloud environments. Experience with Azure SQL, Azure Database for PostgreSQL, Amazon Aurora, PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch/OpenSearch, or other modern data platforms. Experience implementing database platforms on Kubernetes using operators, Helm, GitOps, service meshes, and policy-as-code. Experience with Zero Trust Architecture, identity and access management, privileged access management, encryption key management, and security logging for enterprise data platforms. Experience with RMF processes, security-control implementation, authorization packages, vulnerability remediation, and continuous monitoring. Experience with data cataloging, metadata management, data governance, and enterprise data strategy. Experience conducting technology evaluations, migration assessments, cost analyses, and technical trade studies. Experience building databases leveraging AI, LLM and RAG solutions. The successful candidate is a technically credible architect who can balance modernization objectives with mission continuity, cybersecurity requirements, operational risk, and maintainability. The candidate should be comfortable working across engineering, cybersecurity, operations, and leadership teams; translating complex technical issues into clear decisions; and driving practical modernization in a sensitive, high-availability mission environment. Knowledge, Skills and Abilities: Demonstrated expertise with Microsoft SQL Server, including high availability, backup and recovery, performance tuning, security, replication, and lifecycle management. Knowledge of data architecture principles, including logical and physical data modeling, metadata management, data governance, data integration, data quality, retention, and lifecycle management. Knowledge of high availability, disaster recovery, backup, restoration, replication, encryption, database auditing, and performance monitoring. Strong written and verbal communication skills, including the ability to brief technical and nontechnical stakeholders. Ability to produce clear technical documentation, architecture diagrams, migration roadmaps, and decision-ready recommendations. Advanced knowledge of multi-cloud data architecture, with demonstrated skill in designing and implementing secure, scalable, and resilient data solutions across AWS and Azure, including for IL4 and IL6 environments. Expertise in database modernization strategies, including the ability to lead migrations from IaaS-hosted databases (e.g., SQL Server) to managed cloud-native services (e.g., AWS RDS) and containerized platforms like Kubernetes. Proven ability to develop and implement data governance frameworks, covering data modeling, metadata management, data quality, and lifecycle management to consolidate and organize disparate data sources into analytically usable forms. Skill in applying DevSecOps principles to data platforms, including the use of Infrastructure as Code (IaC), CI/CD pipelines, and automation to manage and deploy database services securely and efficiently. Strong communication and leadership skills . click apply for full job details

Job Description Job Description About NDi: Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply. Future Opportunity Notice: We are currently accepting resumes to build our talent pipeline for potential upcoming opportunities. This posting is not associated with an immediate opening. Job Description: We are seeking an experienced, solutions-oriented Senior Data & Analytics Solutions Architect with a strong specialization in Power BI, data integration, API development, and business intelligence. This individual will partner directly with customers, business leaders, and cross-functional teams to translate business needs into actionable data solutions that support informed decision-making. The ideal candidate combines strong technical expertise with exceptional communication and customer engagement skills. They can engage confidently with executive stakeholders, identify the questions customers need answered, and design intuitive dashboards, reports, and analytics products that turn complex data into clear, meaningful business insights. This is a highly project-focused role requiring the ability to manage multiple priorities, solve problems in real time, and deliver high-quality solutions within accelerated timelines. The successful candidate will be comfortable working in ambiguous environments, adapting solutions as requirements evolve, and balancing speed of delivery with data accuracy, reliability, and usability. Requirements: U.S. Citizenship is required Must be able to obtain a Public Trust clearance This position requires working onsite in Washington D.C., 5 days per week Qualifications and Experience: Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Analytics, or a related field, or equivalent practical experience. Minimum of 10 years of relevant professional experience in data science, business intelligence, analytics, data solutions, or a closely related discipline. Demonstrated expertise in designing and delivering Power BI dashboards and reporting solutions. Power Apps - Business application development: Build customized interfaces for data entry, operational processes, approvals, and business applications. Power Automate - Workflow and process automation: Automate repetitive activities, notifications, approvals, data movement, and integrations. Strong practical experience with Power Query, DAX, data modeling, and data visualization. Proven experience integrating data through APIs, particularly REST APIs and JSON-based data exchange. Strong SQL skills and experience working with relational databases and multiple data sources. Demonstrated success delivering customer-facing analytics projects from requirements discovery through implementation. Experience managing multiple projects, competing priorities, and accelerated delivery timelines. Exceptional verbal and written communication skills, including the ability to communicate effectively with executive-level stakeholders. Proven ability to translate complex business needs into practical, scalable, and user-friendly technical solutions. Strong analytical thinking, troubleshooting, problem-solving, and decision-making capabilities. Experience working independently and exercising sound judgment in ambiguous or rapidly changing environments. Demonstrated commitment to data accuracy, quality assurance, security, and professional standards. Preferred Qualifications: Experience with Microsoft Fabric, Azure data services, Azure SQL, or related cloud-based data platforms. Familiarity with Python or R for data analysis, automation, or advanced analytics. Experience with data pipelines, ETL/ELT processes, and workflow automation. Knowledge of Power BI Service, deployment pipelines, row-level security, and workspace governance. Experience with Agile or other project delivery methodologies. Experience working directly with external customers, senior business leaders, or enterprise clients. Key Responsibilities Customer Engagement & Requirements Discovery: Engage directly with customers, business stakeholders, and executive leadership to understand business objectives, operational challenges, and reporting requirements. Translate business questions and customer needs into actionable analytics requirements and technical solutions. Lead discovery sessions, stakeholder interviews, and requirements-gathering workshops to identify key performance indicators (KPIs), success measures, and decision-making needs. Challenge assumptions and proactively recommend solutions that improve visibility, efficiency, and business outcomes. Communicate technical concepts, analytical findings, and recommendations clearly and confidently to audiences ranging from technical teams to executive leadership. Build trusted customer relationships through responsiveness, professionalism, sound judgment, and consistent delivery. Power BI Dashboard & Reporting Development: Design, develop, and maintain interactive Power BI dashboards, reports, and business intelligence products. Transform complex datasets into intuitive, visually compelling, and actionable reporting experiences. Develop data models, measures, calculations, and business logic using Power Query, DAX, and related tools. Ensure dashboards align with customer objectives, provide meaningful insights, and enable timely, data-driven decisions. Apply best practices in dashboard design, data visualization, usability, performance optimization, and accessibility. Establish appropriate data validation, quality controls, and reporting standards to ensure accuracy and trust in delivered products. Iterate rapidly on dashboards and reports based on customer feedback, changing requirements, and evolving business priorities. API Integration & Data Engineering: Design, develop, and support API integrations that connect disparate systems, applications, and data sources. Work with REST APIs, JSON, authentication methods, and data transformation processes to enable reliable data access and integration. Troubleshoot connectivity issues, data discrepancies, refresh failures, and integration challenges. Develop repeatable, scalable approaches to data ingestion, transformation, and reporting. Collaborate with engineering, IT, data platform, and application teams to ensure secure, reliable, and maintainable data solutions. Understand and apply appropriate security, access control, data governance, and data privacy practices. Rapid Solution Development & Project Delivery: Lead analytics projects from initial customer engagement and solution design through development, testing, deployment, and handover. Deliver fit-for-purpose dashboards, reports, and data products within short turnaround times without compromising essential quality standards. Assess business needs quickly, determine the most effective technical approach, and make informed decisions when requirements are incomplete or evolving. Develop prototypes and minimum viable products (MVPs) to validate concepts, demonstrate value, and accelerate customer feedback. Manage project scope, milestones, risks, dependencies, and stakeholder expectations. Balance immediate customer needs with long-term maintainability, scalability, and technical sustainability. Identify opportunities to streamline delivery, reuse existing components, and improve the efficiency of analytics development. Proactively communicate progress, constraints, trade-offs, and delivery risks to stakeholders. Data Analysis & Decision Support: Analyze data to identify trends, patterns, performance gaps, opportunities, and potential risks. Translate analytical findings into clear business insights, recommendations, and actionable next steps. Partner with stakeholders to define relevant KPIs, performance measures, and reporting frameworks. Ensure reports tell a clear story, answer the right business questions, and support decisions rather than simply display data. Validate assumptions, investigate anomalies, and ensure conclusions are supported by reliable data. Recommend improvements to reporting processes, data accessibility, and business intelligence capabilities. Stakeholder Collaboration & Executive Communication: Present dashboards, analytical findings, project outcomes, and recommendations to senior leaders and executive audiences. Develop concise, professional presentations and executive-level reporting materials. Facilitate productive conversations between customers, business teams, technical specialists, and leadership. Navigate competing priorities and differing perspectives while maintaining constructive, professional working relationships. . click apply for full job details

Job Description Job Description Description: Hybrid in Raleigh, NC Our client seeks a Senior MDM Technical Product Lead - Informatica 360 to lead the architecture, design, and delivery of enterprise Master Data Management solutions. The role will drive end-to-end data architecture, scalable integrations, and real-time enablement across banking platforms. The analyst will lead implementation of Informatica Customer 360 and Reference 360, enabling governed, unified, and high-quality customer data through API-driven and event-driven architectures, and robust batch and real-time data pipelines. This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis. Salary: $120,978/yr - $209,696/yr Responsibilities: Lead implementation and optimization of Informatica Customer 360 and Reference 360, from source ingestion to downstream consumption. Design and govern MDM architecture, integration patterns, and golden record management including match and merge frameworks. Build and manage batch and real-time data pipelines using API-driven and event-driven approaches. Enhance enterprise data quality, profiling, exception reporting, and issue resolution for data warehouses and analytics. Develop dashboards and modern analytics to support business insights and special data projects. Enforce enterprise data policies, complete month-end validations, and support training or mentoring of team members. Create and maintain technical documentation, including source-to-target mappings and data dictionaries. Facilitate strategies to mature data management capabilities and support a multi-year roadmap. Collaborate cross-functionally across banking units and maintain awareness of emerging technologies. Deliver key artifacts including MDM architecture designs, data models, integration mappings, and performance frameworks. Experience Requirements: 12+ years in data engineering, MDM development, or integration architecture. Strong hands-on experience with Informatica Customer 360 and Reference 360. Expertise in Customer or Party MDM for individual and non-individual entities. Proficiency in SQL and data integration tools, including Informatica and ETL frameworks. Experience with REST and GraphQL APIs, and messaging or event platforms such as Kafka or MQ. Knowledge of data modeling, data governance, and data lineage with real-time and batch architectures. Experience in finance or banking domains, including core banking, CIS, and risk or compliance areas such as KYC. Agile experience with user stories and test cases in Jira. Familiarity with Snowflake or other cloud data platforms and exposure to Azure, AWS, or hybrid architectures. Leadership ability with strong communication and stakeholder engagement skills. Understanding of data warehousing, transformation methods, and ETL processes. Knowledge of spreadsheets and databases, with ability to write SAS and familiarity with SAS Enterprise Guide and Cognos. Preferred: microservices architecture, domain-driven design, DevOps and CI or CD automation, and large-scale data transformation programs. Education Requirements: Bachelor's degree and 6 years of experience in Data Management or Data Analytics, or High School Diploma or GED and 10 years of experience in Data Management or Data Analytics. 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 Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Lead Data Architect Location: Suitland, MD (Hybrid) Terms: Full-time Clearance/Work Authorization: U.S. Citizenship with the ability to obtain and maintain a Public Trust is required SalaryRange: $160-225k DOE Travel: % Project Description This position supports Revolutional's federal customer as part of an application transformation and modernization initiative. This program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization. The core challenge: orchestrating complex, multi-contractor delivery while transforming both technology and operating models without disrupting mission-critical operations. Position Description As a Lead Data Architect at Revolutional, you will define and drive enterprise data architecture strategy, governance, and implementation across a large-scale federal modernization program. You will lead architecture efforts spanning data platforms, pipelines, governance frameworks, analytics ecosystems, AI/ML integration, and large-scale distributed processing environments. You will work across multiple systems, teams, vendors, and contractors to ensure data is structured, governed, secured, integrated, and operationalized effectively across the enterprise. This role requires someone who can balance long-term data strategy with operational delivery realities, while establishing architecture standards that support scalability, compliance, resiliency, and real-time data operations. Responsibilities Provide technical leadership across enterprise data architecture efforts within a large-scale modernization program Design and govern scalable data ecosystems including data lakes, lakehouse architectures, data warehouses, marts, and distributed processing platforms Define and implement enterprise data models, schemas, standards, retention strategies, and lifecycle management approaches Oversee data management, integration, quality, lineage, storage, retention, and governance processes across systems Establish metadata management, data catalogs, data dictionaries, and lineage frameworks supporting governance and traceability requirements Design and manage large-scale data ingestion, ETL/ELT pipelines, transformation workflows, analytics, and dissemination capabilities Support real-time and streaming architectures using event-driven processing and distributed messaging systems Design and oversee APIs, system interconnections, interface management processes, and Interface Control Documents (ICDs) Support AI/ML-enabled architectures including ML pipelines, MLOps processes, model deployment, and AI governance frameworks such as the NIST AI RMF Collaborate with application architects, engineers, data scientists, SMEs, and external vendors to deliver secure, scalable, and high-performing data solutions Ensure compliance with federal data management, privacy, and security requirements including NIST, FedRAMP, Zero Trust, ATO processes, encryption, access control, and data sharing standards Lead architecture efforts supporting system-of-systems (SoS) integrations across multiple contractors, vendors, and interdependent platforms Implement FinOps and cloud optimization strategies including cost monitoring, tagging, performance tuning, and operational efficiency improvements Support operational management of enterprise data platforms including monitoring, maintenance, performance optimization, and lifecycle management (O&M) Establish and enforce architecture governance, standards, and best practices across Agile and SAFe delivery teams Mentor architects and engineering teams while promoting consistency, governance, and technical excellence Technical Environment Cloud-native data platforms (AWS, Azure) Data lakes, lakehouse architectures, warehouses, marts, and distributed analytics ecosystems Big data and streaming technologies (Spark, Kafka, Databricks, Snowflake, Airflow) APIs, event-driven architectures, and distributed integration platforms ETL/ELT pipelines and large-scale data processing frameworks MLOps, AI/ML-enabled analytics, and model deployment environments Infrastructure-as-Code and automation tools (Terraform) DevSecOps pipelines and CI/CD automation frameworks Data governance, metadata, lineage, and catalog platforms Agile and scaled Agile (SAFe) delivery environments Delivery and collaboration platforms (Git, Jira, Confluence) Required Skills and Experience 10-14+ years of experience in data architecture, enterprise data engineering, or large-scale modernization initiatives Proven experience designing enterprise data architectures for large-scale, distributed systems environments Experience operating within Agile and SAFe/scaled Agile delivery frameworks Strong experience designing enterprise data ecosystems including data lakes, warehouses, marts, and distributed data platforms Experience with large-scale data ingestion, ETL/ELT pipelines, analytics, dissemination, and real-time processing architectures Experience implementing metadata management, lineage, catalogs, and governance frameworks Experience with system-of-systems integration, APIs, interface management, and distributed architectures Experience supporting AI/ML-enabled environments including MLOps, ML pipelines, model deployment, and AI governance Experience with open-source and modern data stack technologies including Spark, Kafka, Airflow, Databricks, and Snowflake Experience implementing data governance, data quality, data classification, tagging, privacy, and enterprise sharing frameworks Experience with cloud-native data services across AWS and Azure environments Experience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation Strong understanding of federal security and compliance frameworks including NIST, FedRAMP, Zero Trust, encryption, access controls, and ATO support Experience with FinOps, cloud cost optimization, and performance tuning of enterprise data platforms Experience supporting operational monitoring, maintenance, and lifecycle management of enterprise data systems Core Strengths Strategic thinker capable of translating mission and business requirements into scalable enterprise data architectures Strong ownership mindset with accountability for architecture, governance, and operational outcomes Ability to influence technical direction across engineering, analytics, architecture, and operational teams Strong decision-making skills balancing modernization goals, operational realities, and compliance requirements Effective communication across technical, operational, and executive stakeholders Ability to coordinate delivery and governance across complex, multi-team, multi-contractor environments Nice to Have (Differentiators) Certifications in cloud data platforms, big data technologies, or enterprise architecture frameworks Experience supporting statistical and similarly large-scale federal modernization programs Experience with large-scale real-time analytics or event-streaming environments Experience implementing enterprise AI governance or advanced analytics frameworks Experience supporting DataOps or platform engineering initiatives Work Authorization/Clearance: Must be a U.S. Citizen and able to obtain a Federal Government Public Trust clearance. _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment . click apply for full job details

Job Description Job Description The Data Architect is responsible for defining and implementing Dal-Tile's enterprise data architecture strategy to support analytics, reporting, data governance, cloud modernization, and AI initiatives. This role partners with business and technology teams to deliver scalable, secure, and trusted data solutions across the enterprise while driving migration from legacy platforms to modern Azure-based technologies. Job Details: This role does NOT provide current or future sponsorship assistance. Please note that we will NOT provide relocation assistance (Candidates are expected to relocate on own 3 weeks from time of offer acceptance). Employees are required to report in office 4 days a week / 7834 CF Hawn Freeway Dallas, Texas 75217 (NO NEGOTIATION). This is a direct hire role; We are NOT open to employing through contractor or agency. Duties and Responsibilities of the Position: Enterprise Data Architecture, BI & Cloud Modernization: Define and maintain Dal-Tile's enterprise data and BI architecture strategy, standards, reference architectures, and roadmaps, including migration of legacy platforms to secure and scalable Azure-based solutions. Establish architecture and delivery standards for dbt, Azure Databricks, Azure Data Factory, Azure Storage, Azure SQL, Power BI, dimensional and semantic models, KPI frameworks, reusable data products, workspace governance, deployment practices, and performance optimization; evaluate Microsoft Fabric where it adds appropriate value. Lead architecture reviews and integration design across the application and data portfolio while documenting architecture decisions, reusable patterns, procedures, quality objectives, and lessons learned. Data Governance, Integration & Business Partnership: Architect and govern data across enterprise applications, SAP platforms, cloud services, APIs, third-party providers, and operational systems by establishing Data Governance, Data Stewardship, Data Observability, Metadata Management, Master Data Management, Data Lineage, privacy, security, and retention practices. Create and maintain architecture diagrams, enterprise and semantic data models, interface designs, end-to-end lineage, technology roadmaps, enterprise KPIs, business metrics, and reporting standards aligned with organizational priorities. Partner with business and technology leaders, Data Engineers, Analytics Engineers, BI specialists, and application teams to resolve cross-functional challenges and deliver governed self-service analytics and trusted data products. AI-Enabled Architecture, Lucid chart AI & Continuous Learning: Define architecture and governance guardrails for responsible use of generative AI, copilots, and agent-based capabilities, including security, privacy, human review, traceability, and lifecycle monitoring. Use Lucid chart AI to accelerate current-state and target-state architecture diagrams, data-flow and lineage visualization, reference-pattern creation, standards validation, and ongoing governance; review and tailor AI-generated outputs to Dal-Tile's approved architecture, security, naming, metadata, and documentation standards before publication. Evaluate AI-assisted capabilities across Power BI, SAP, Azure AI, and related platforms to support governed semantic models, trusted enterprise metrics, AI-ready data products, metadata discovery, redundancy analysis, data observability, and operational automation. Required Experience and Education: Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or a related discipline, or equivalent experience. 6-8 years of experience in Data Architecture, Enterprise Architecture, Data Engineering, Analytics, or Business Intelligence, including 4-6 years designing enterprise-scale cloud data platforms and analytics solutions. Strong hands-on experience with Azure Data Factory, Azure Databricks, Azure Storage, Azure SQL, Power BI, and dbt for scalable data transformation, testing, documentation, lineage, and deployment practices; Microsoft Fabric experience is a plus. Proven experience leading legacy-to-cloud migration and architecting enterprise environments spanning operational, analytical, SAP, API, and third-party sources. Hands-on experience with SAP ECC and/or SAP S/4HANA data environments and integration with enterprise analytics and reporting platforms. Experience implementing Data Governance, Data Stewardship, Data Observability, Metadata Management, Master Data Management, Data Lineage, privacy, security, and trusted data-product practices. Experience designing enterprise BI and analytics architectures, including dimensional and semantic modeling, KPI frameworks, Power BI governance, workspace administration, deployment pipelines, performance optimization, and self-service analytics. Competencies: Ability to define enterprise reporting strategies and deliver trusted analytical data products supporting executive, operational, and strategic decision-making. Ability to use AI-assisted architecture and documentation tools, including Lucid chart AI, with sound judgment, human validation, version control, and compliance with enterprise governance standards. Excellent communication, presentation, problem-solving, critical-thinking, and stakeholder-management skills, including the ability to translate complex technical concepts into clear business value. Ability to lead cross-functional initiatives, influence standards and practices, manage competing priorities, and provide task-related direction to technical team members. Manufacturing industry experience is highly preferred, with understanding of Supply Chain, Marketing, Customer, Product, Finance, and Operational data domains. Other Pertinent Job Information: Temporary indirect reporting relationships may exist while working as Project lead. May be required to act in senior role, providing task related advice and direction to junior team members. Occasional travel may be required.