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Databricks- Resident Solution Architect

Job Description - Databricks- Resident Solution Architect

Description
  • 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 with at least 4–5 years of hands-on databricks and spark experience
  • Strong proficiency in python, pyspark, spark sql, and sql with experience handling large-scale distributed data processing
  • Hands-on experience with cloud platforms, preferably microsoft azure including azure databricks, data factory, and adls
  • Proven expertise in lakehouse architecture, data modeling, performance tuning, and etl framework design
  • Databricks certifications preferred along with strong leadership, stakeholder management, and mentoring experience
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