• Design and implement scalable data architectures using databricks lakehouse, ensuring alignment with enterprise data strategy and business objectives
• Act as the resident databricks subject matter expert, driving best practices across delta lake, spark optimization, and workload performance tuning
• Build and optimize end-to-end data pipelines using pyspark and spark, including modernization and migration of legacy etl and pl/sql workloads to cloud-based platforms
• Implement data governance, security, and access control frameworks such as unity catalog to ensure compliance and data integrity across platforms
• Collaborate with business stakeholders, data engineers, and analytics teams to translate requirements into scalable solutions while mentoring junior team members and enforcing engineering standards

Requirements

• 10+ years of experience in data engineering, data architecture, or big data platforms...