Why this role stands out
This high-impact role offers the chance to define enterprise-level Databricks lakehouse architecture for a major healthcare initiative while enjoying the flexibility of a hybrid work schedule and a highly competitive hourly rate. You will thrive in this position if you are a strategic thinker with a passion for data governance and technical leadership, making this an ideal opportunity to advance your career and mentor top-tier engineering talent. Apply today to leverage your expertise in a role that promises significant professional growth and meaningful contributions to large-scale data modernization.
Quick overview
Job description
W2 only, no third parties.
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
- Bachelor's degree in computer science, data engineering, information systems, engineering, or a related field.
- Minimum 8 years of experience in enterprise data architecture, data engineering, cloud platforms, or analytics modernization.
- Demonstrated 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.
- Ability to lead technical teams and communicate architecture decisions to executive and non-technical audiences.
What Would Be Nice To Have
- Databricks Data Engineer Professional, Databricks Architect, or equivalent certification.
- 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.
Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
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Contact:
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