Associate Director, Lead Data Architect - Databricks

• Serve as deputy to the Data Workstream Lead and lead day-to-day technical architecture decisions.
• Define the secure Databricks lakehouse architecture, environments, work spaces, 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 Data Ops, 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.

Data Science Consulting

Up to 25%

Ability to Obtain Public Trust

• Serve as deputy to the Data Workstream Lead and lead day-to-day technical architecture decisions.
• Define the secure Databricks lakehouse architecture, environments, work spaces, 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 Data Ops, 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.

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

• 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.

Guidehouse offers a comprehensive, total…