Data Architect, Senior

Job Number: R0242379

As organizations increasingly depend on cloud platforms, analytics, and AI/ML to drive mission outcomes, the integrity of the data foundation underneath them has never mattered more. We are looking for a Data Architect to own the design, governance, and continued evolution of the enterprise data architecture that powers analytics, reporting, and operational insight across our organization and for our DoD clients.

As a Data Architect, you'll be the go‑to expert for data modeling, governance, and architecture across stakeholders, making sure every data asset we build is well‑modeled, documented, discoverable, and trustworthy. You set the standards, and you help the team hold to them from design through deployment.

This is a hands‑on technical role. Our architecture, pipelines, and tooling are built on modern Python frameworks. You'll be designing schemas, optimizing queries, and making data modeling decisions that the rest of the team builds on every day.

The role also carries meaningful project leadership and client‑facing responsibility. You'll play a key part in new client intake, engaging directly with prospective and new customers to understand their data landscape, asking the right questions, and applying critical thinking to model their environment and shape data solutions that fit their mission. You’ll also lead client data maturity assessments from start to finish: scoping the engagement against the statement of work, evaluating client data systems, modeling their current‑state architecture, and delivering actionable recommendations and roadmaps on schedule.

You'll work in a fast‑paced, agile environment where deliverables are requirements‑driven and schedule‑bound, partnering closely with team leads, engineers, analysts, and stakeholders to maintain high quality and timeliness of deliverables.

• Own the enterprise data model, ensuring all production data assets are properly modeled, documented, and governed, with complete schemas and lineage.
• Design and enforce data governance standards, including assisting with naming conventions, quality controls, access policies, and metadata management, and hold the deployment gate so new assets meet standards before reaching production.
• Define and maintain the data catalog so every team knows what data exists, where it lives, and how to use it.
• Lead data quality monitoring, including owning the rules, thresholds, and remediation process, and driving issues to resolution within defined service levels.
• Support new client intake by engaging with prospective and new customers to understand their data environment, coordinating with squad leads and analysts on what's feasible, and applying critical thinking to model and design data solutions tailored to each customer's needs.
• Lead client‑facing data maturity assessments end to end, including plan and manage the engagement timeline, evaluate client data systems, score maturity, and deliver recommendations and actionable roadmaps.
• Communicate clearly in both directions, including presenting architecture findings and recommendations to clients, and coordinating across the team so engineers and analysts have what they need to execute.
• Support cross‑functional mission teams by validating data model decisions, reviewing architecture choices, and ensuring governance compliance.
• Design and build data solutions using Python and SQL.
• Evaluate and recommend data tools, storage strategies, and architectural patterns as the team scales, delivering recommendations with cost or benefit analysis.
• Participate in quarterly technical debt reviews and security and compliance audits, helping ensure architecture health and DoD compliance requirements are met.

• 5+ years of experience in data architecture, data engineering, or analytics engineering, including ownership of enterprise or program‑level data models.
• Experience with SQL and database, including data modeling, such as dimensional modeling, normalization, or schema design, query optimization, and working with relational databases and cloud data platforms.
• Experience with Python data frameworks for…