- 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 solid leadership, stakeholder management, and mentoring experience

📌 Databricks- Resident Solution Architect (Chennai)
🏢 Unison Group
📍 Chennai