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About the role
Databricks MVP Architect
Location: Pittsburgh, PA (Hybrid Preferred) | Remote Considered
Type: Full-Time
Overview:
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.
Responsibilities
- 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.
Requirements
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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.
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Preferred:
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Databricks Professional Certifications. Experience with AI/ML and Generative AI workloads. Consulting or client-facing architecture experience.
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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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#ZR #INDCEI
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