What You Will Do:

• Serve as deputy to the Data Workstream Lead and lead day-to-day technical architecture decisions.

• Define the secure Databricks lakehouse architecture, environments, workspaces, storage patterns, identity and access considerations, and Unity Catalog structure.

• Define canonical HR data models, domain boundaries, curated layers, semantic approaches, and reusable data-product standards.

• Establish DataOps, ingestion, transformation, orchestration, integration, API, and other consumption patterns.

• Develop the migration architecture, source-to-target design standards, metadata and lineage approach, and data-contract framework.

• Define architecture standards for security, privacy, quality, observability, performance, testing, deployment, and supportability.

• Review detailed models, mappings, pipelines, interfaces, and data products for conformance with the target architecture.

• Facilitate architecture decisions and communicate tradeoffs to technical teams, business stakeholders, and leadership.

• Mentor architects and engineers and provide technical quality assurance across Prepare, Stabilize, and Operationalize.

What You Will Need:

• Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred

• Bachelor’s degree in computer science, data engineering, information systems, engineering, or a related field.

• EIGHT (8) or more years of experience in enterprise data architecture, data engineering, cloud platforms, or analytics modernization.

• Experience architecting Databricks lakehouse solutions and Unity Catalog security and governance structures.

• Strong knowledge of dimensional, relational, canonical, and data-product modeling patterns.

• Experience with ingestion, API, integration, orchestration, metadata, lineage, data contracts, quality, and DataOps patterns.

• Experience designing migration architectures and guiding source-to-target mapping and conversion decisions.

What Would Be Nice To Have:

• Databricks Data Engineer Professional, Databricks Architect, or equivalent certification.

• Ability to lead technical teams and communicate architecture decisions to executive and non-technical audiences.

• Experience with HR, workforce, ERP, or financial data models.

• Experience with Azure, AWS, or cloud networking and security patterns.

• Experience supporting public-sector data modernization.