Databricks Tech Lead

• Must Have Technical/Functional Skills
• 10+ years of experience in Data Engineering, Data Architecture, ETL Modernization, or Enterprise Data
• Platform Migration.
• 6+ years of hands-on Databricks experience in large-scale enterprise environments with Data Modernization
• or migration to Databricks expertise.
• Strong expertise in Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Databricks Workflows/Jobs.
• Proven experience assessing and migrating legacy data platforms, ETL solutions, and data warehouses to
• Experience with Alteryx workflow assessment, migration planning, and modernization.
• Strong understanding of data modeling, data pipelines, source-to-target mappings, data quality, and
• performance optimization.
• Experience designing scalable Lakehouse architectures, including Medallion Architecture and Delta Lake.
• Knowledge of cloud data architecture, security, governance, monitoring, CI/CD, and DevOps practices.
• Hands-on experience with Azure Databricks, ADLS, Azure Data Factory, Purview, Key Vault, and Azure
• Ability to lead technical discovery workshops, define migration strategies, prepare architecture documentation,
• and provide technical leadership throughout delivery.
• Roles & Responsibilities
• Lead the assessment of current-state data platforms, including source systems, data warehouses, databases,
• ETL/ELT pipelines, reporting environments, and Alteryx workflows.
• Define and drive the migration and modernization strategy for legacy data platforms to Databricks Lakehouse
• Architecture.
• Analyze existing data assets, transformation logic, dependencies, source-to-target mappings, data quality
• requirements, and performance considerations.
• Identify workloads suitable for lift-and-shift migration versus those requiring redesign, refactoring,
• consolidation, or retirement.

None flagged.