Senior Data Architect

Role Overview

• Senior Data Architect serves as an experienced individual contributor within a team, with the expectation that you will further develop your leadership, guidance, and mentoring skills
• With minimal oversight from leadership, you will be responsible for supporting the goal of meeting scope, schedule, and delivery requirements
• A Senior Data Architect impacts the long-term goals of the program, while contributing to the development of the program's data architecture strategy
• You may serve as the discipline's primary lead when working with stakeholders and utilize strong influential skills to drive improvements in data architecture processes and practices
• Lead complex legacy data migrations end-to-end, including schema mapping, data profiling, phased migration sequencing, parallel-run validation, and cutover with automated rollback procedures
• Design and maintain cloud-native data pipelines using event-driven infrastructure (SNS/SQS, Lambda/Step Functions) to support BI and analytics workflows
• Architect data analytics repositories that are production-ready, monitored, and fully documented so agency staff and external tools can operate without contractor dependency
• Manage digital artifact and content management lifecycles including upload, storage, review, and archiving across AWS and Azure/M365 environments
• Drive data governance across programs, including lineage documentation, dictionary standardization, and glossary development
• Align data architecture and standardize access patterns to make data available to BI tools, apps, and web platforms
• Translate business and agency requirements into functional BI portals and dashboards
• Present architectural decisions clearly to mixed audiences, from engineers to product owners to federal agency stakeholders
• Mentor junior analysts and engineers and participate in technical interviews and candidate evaluations
• May lead small, less critical, or temporary structures and projects

Requirements

• 7+ years of relevant data architecture experience and a Bachelor's degree, or equivalent additional experience in lieu of a degree
• Proven experience leading large-scale legacy data migrations, including schema mapping, phased migration strategy, and cutover with rollback validation
• Deep expertise with relational (Oracle, RDS) and non-relational databases, and a solid understanding of how structural variability in legacy systems creates downstream migration risk
• Hands-on experience building event-driven pipeline infrastructure (SNS/SQS, Lambda/Step Functions)
• Working knowledge of AWS (S3, CloudWatch, OpenSearch) and Azure/M365 environments
• Strong grasp of data governance principles, lineage documentation, and data dictionary/glossary standardization

Tech Stack

• AWS
• Azure
• Cloud
• Oracle

Benefits

• Company-subsidized health, dental, and vision insurance
• Flexible PTO
• 401K with employer match
• Paid parental leave after one year of service
• Employee Assistance Program