Location: Pittsburgh, PA (Hybrid Preferred) | Remote Considered
Type: Full-Time

We are seeking a Databricks MVP Architect to lead the design and evolution of our enterprise data platform. This role combines strategic architecture, hands-on leadership, and expertise in building scalable Lakehouse solutions on Databricks.

Current Databricks MVP designation is required.

• Architect and lead enterprise data and AI solutions on Databricks.
• Design and optimize Lakehouse architectures using Delta Lake and Unity Catalog.
• Establish data governance, security, and architecture standards.
• Partner with business and technical stakeholders to drive data strategy.
• Mentor engineering teams and provide technical leadership.

• Active Databricks MVP designation (Required)
• 10+ years of Data Engineering, Data Architecture, or Cloud Architecture experience.
• 5+ years of hands-on Databricks experience.
• Expert knowledge of Databricks, Delta Lake, Unity Catalog, PySpark, and Spark SQL.
• Experience with AWS, Azure, or GCP.
• Strong leadership and stakeholder management skills.

• Databricks Professional Certifications.
• Experience with AI/ML and Generative AI workloads.
• Consulting or client-facing architecture experience.

Key Skills: Databricks MVP, Databricks Lakehouse, Delta Lake, Unity Catalog, PySpark, Spark SQL, Data Architecture, Cloud Architecture, Data Governance, AI/ML, Technical Leadership.

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