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Senior, niche Azure Databricks data architect role at a mid-tier firm with metro locations reduces applicant density.
Highly domain-specific Azure Databricks and large-scale data architecture needs reduce cross-industry transferability.
Explicit 10+ years and mandatory Azure Databricks, ADF, PySpark, Unity Catalog make filters very strict.
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Own design, architecture, and optimization of large-scale (TB, PB) data engineering solutions using Azure services.
Implement and manage end-to-end data architectures with Azure Databricks, including pipelines, governance (Unity Catalog), and security.
Create POCs, participate in proposals and RFPs, and apply GenAI technologies to data engineering solutions.
10+ years of experience in data engineering design, architecture, and implementation over large data volumes.
Expertise in Azure Databricks, Azure Data Factory, ADLS, Azure Synapse, Azure SQL Database, Azure Functions.
Proficiency in PySpark, Python, Spark SQL, and writing optimized SQL; experience managing Azure Databricks clusters and Unity Catalog.
Notice Period: Not explicitly mentioned in the JD.
Experienced in cloud migration projects and scalable data lake/pipeline development on Azure.
Strong ability to translate requirements into technical solutions with hands-on coding and automation skills.
Capable of leading technical proposals, creating POCs, and integrating GenAI technology into data solutions.