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Solutions Architect, Lakehouse
OPENDataJobs. Design components of the lakehouse on Azure Databricks, including medallion layers from raw ingestion to curated, business-ready tables and the Delta Lake storage beneath them .
Posted 11/3/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $120,000 - $140,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing data architectures on Azure Databricks, including Delta Lake and Unity Catalog governance. Proficient in data modeling for analytics and delivering data solutions to analysts using advanced SQL and Python.
Highest-signal resume keywords
Azure DatabricksDelta LakeData GovernanceAdvanced SQLData Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData EngineeringAnalytics EngineeringDimensional ModelingData VaultPythonPySparkDatabricks SQLPower BILakehouse Federation
Soft Skills
CollaborationDocumentationCommunication
Tools & Technologies
Unity CatalogAzure Data FactoryAI Tools
Certifications & Qualifications
Databricks CertificationMicrosoft Azure Architecture CertificationData Certification
Industry Keywords
Federal Government EnvironmentImpact Level 5 (IL-5)Data ClassificationAccess ControlSecurity Controls
Tech Stack
Tools & technologiesAWSAzureCloudPySparkPythonSQLUnityVault
About the role
Key responsibilities & impact- Design components of the lakehouse on Azure Databricks, including medallion layers from raw ingestion to curated, business-ready tables and the Delta Lake storage beneath them
- Implement and extend the agency's Unity Catalog governance model, including catalogs, schemas, access controls, lineage, and required data classifications
- Build data models using dimensional models for reporting and Data Vault where history and auditability matter
- Connect the lakehouse to external sources through Lakehouse Federation and to analysts through Databricks SQL and Power BI
- Document design decisions and reference patterns for owned components
- Review implementation against documented design decisions and reference patterns
- Make architecture tradeoffs explicit and leave reusable team patterns
- Help develop the firm's capabilities, tools, and lines of business
- Use AI tools to help implement, test, and improve owned components while reviewing and testing their output
- Collaborate with developers, engineers, data scientists, architects, and strategists across assignments and clients
Requirements
What you’ll need- 4+ years of data architecture, data engineering, or analytics engineering experience, including design work on a production data platform
- Bachelor's degree
- Hands-on Azure Databricks work, including Delta Lake and the medallion architecture
- Data governance in Unity Catalog, including access control, lineage, and data classification
- Data modeling for analytics, including dimensional modeling; Data Vault is a plus
- Advanced SQL and working Python, including PySpark
- Serving data to analysts and reporting tools, for example through Databricks SQL and Power BI
- Writing decision records, standards, and diagrams that engineers and reviewers follow
- Delivery experience in a federal government environment, working to its security, access, and review processes
- Proficiency in writing, PowerPoint, and Excel
- United States citizenship; dual citizenship and green card holders are prohibited by the contract terms
- Ability to satisfy the required suitability, security, and access requirements
- Preferred: Experience on a federal system accredited at Impact Level 5 (IL-5) or higher
- Preferred: Data architecture work in Microsoft Azure and at least one additional cloud platform, such as AWS or Google Cloud
- Preferred: Lakehouse Federation, Databricks SQL warehouses, or Azure Data Factory
- Preferred: Databricks certification, or a Microsoft Azure architecture or data certification
- Preferred: Federal data governance experience, including records, privacy, and security controls
- Preferred: Familiarity with AI-assisted developer tooling
Benefits
Comp & perks- Medical, dental, and vision with the employee premium fully paid and half of dependent premiums
- Employer-paid life, accidental death, and short-term and long-term disability insurance
- 401(k) with an employer match of up to 4% of salary
- Unlimited paid time off
- Sponsored professional certifications and continuing education
- Extensive onboarding
- Rotation across functions to expand skills and perspective