Principal Data Lead

Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting strategy and execution across AI, cloud, data, product development, and emerging technology.

Our culture is built by people who care deeply about doing exceptional work. We set high standards, take ownership, and continually challenge ourselves and one another to be better. We work hard, support each other, and take genuine pride in what we deliver for our clients, partners, and teams.

At Blueprint, you’ll work alongside talented people with different experiences, expertise, and perspectives. You’ll have opportunities to take on meaningful challenges, expand your skills, and see the impact of what you build.

Bring your perspective. Raise the standard. Build what matters.

Blueprint is seeking a Principal Data Lead to provide senior leadership for data strategy, governance, quality, and coordination across a complex federal healthcare data environment. This person will be accountable for turning data strategy into practical standards and operating practices that improve the reliability, discoverability, and trusted use of data.

The Principal Data Lead will collaborate with data owners, technical leaders, product teams, engineering teams, and program stakeholders across multiple source systems and data domains. The role also provides senior oversight across data engineering, metadata management, lineage, documentation, and trusted-data promotion.

• Lead the execution of data strategy across a large, multi-domain federal healthcare program.
• Establish and advance data supply chain and metadata maturity practices.
• Define governance for trusted-data promotion, including the standards and controls data must meet before broader use.
• Set and maintain data quality standards, measurement practices, and accountability across data domains.
• Coordinate priorities and decisions across source-system teams, data owners, engineering teams, and program stakeholders.
• Provide senior oversight for data engineering practices involving Databricks, Spark, Python, SQL, jobs and workflows, schema design, optimization, and pipeline reliability.
• Guide data governance and metadata practices involving Unity Catalog, machine-readable documentation, lineage, and data discoverability.
• Translate program objectives into clear data standards, roadmaps, operating practices, and measurable outcomes.
• Identify cross-domain dependencies, risks, and quality issues and drive them to resolution.
• Communicate data strategy, governance decisions, and delivery progress to technical and nontechnical stakeholders.
• Participate in proposal-related oral presentation preparation and presentation activities as required for this key personnel role.

• Demonstrated experience leading enterprise data strategy, governance, data quality, or data management across complex environments.
• Experience coordinating data decisions across multiple source systems, data domains, and stakeholder groups.
• Strong understanding of modern data engineering, metadata management, lineage, schema design, and reliable data pipeline practices.
• Experience establishing standards and governance processes that improve data trust, quality, documentation, and reuse.
• Ability to lead through influence and align technical teams, data owners, and program stakeholders around shared priorities.
• Ability to translate complex data concepts into clear decisions, plans, and communications for technical and nontechnical audiences.
• Experience operating at a principal, enterprise, or program leadership level.

• Experience supporting federal…