Role OverviewWe are seeking a highly experienced Databricks Architect to lead the architecture, governance, security, and modernization of enterprise data platforms on Databricks. The role will serve as the architectural authority for Databricks initiatives from requirement intake and solution design through implementation and production support, partnering with business stakeholders, data owners, governance bodies, security, application teams, data engineering teams, source-system SMEs, vendors, and leadership.
What You Will Do
Lead enterprise Databricks Lakehouse architecture using Medallion Architecture (Bronze, Silver, Gold), establish scalable, reusable, secure, and governed platform patterns. Define the target-state Databricks architecture across ingestion, transformation, storage, orchestration, analytics, streaming, data sharing, and consumption layers.
Why It Might Be a Fit
The ideal candidate will have strong hands-on experience with Databricks and modern lakehouse architecture, including production-scale implementation and optimization, and deep expertise in Medallion Architecture (Bronze, Silver, Gold), Delta Lake, distributed data processing, Spark/PySpark, SQL, batch processing, and streaming architecture.
Requirements
- Minimum 10+ years of experience in Data Architecture, Data Engineering, or enterprise data-platform delivery, including architecture leadership for large-scale data ecosystems.
- Minimum 5+ years of strong hands-on experience with Databricks and modern lakehouse architecture, including production-scale implementation and optimization.
- 5+ years of deep expertise in Medallion Architecture (Bronze, Silver, Gold), Delta Lake, distributed data processing, Spark/PySpark, SQL, batch processing, and streaming architecture.
- 5+ years of strong experience with Databricks Unity Catalog and enterprise data-governance capabilities including cataloging, metadata management, lineage, data classification, ownership, access governance, and audit controls.
- Minimum 5+ years of data-governance experience covering data quality, metadata, lineage, stewardship, data ownership, policy enforcement, privacy, security, and compliance controls.
Benefits
- Medical, dental, and vision insurance with an employer contribution
- Flexible spending or health savings account
- Life and AD&D insurance
- Short and long term disability coverage
- Paid time off
- Employee assistance
- Participation in a 401k program with company match
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