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About the role
Core Responsibilities: . Databricks Architecture - Design, optimize, and manage endtoend data pipelines using Databricks (Spark, Delta Lake, Unity Catalog). . ETL/ELT Pipelines - Build scalable ingestion and transformation frameworks for structured and semistructured data. . Cloud Platforms - Implement solutions on Azure/AWS/GCP with strong understanding of compute, storage, and networking. . Data Warehouse Modernization - Lead migration from legacy systems to modern lakehouse architectures. . Team Leadership - Mentor engineers, conduct design reviews, and drive delivery excellence. . Customer Engagement - Lead technical discussions, requirement workshops, and solution walkthroughs. Required Skills & Qualifications . Databricks Expertise: Deep knowledge of Unity Catalog, Photon engine, Databricks SQL, and optimization. . Cloud Infrastructure: Proven experience architecting scalable data solutions on Azure, AWS, or GCP. . Data Warehousing: Advanced mastery of ETL/ELT pipeline design, data modeling, and performance tuning. . Soft Skills: Exceptional analytical thinking, stakeholder management, and clear technical articulation. . Strong command of Spark, Delta Lake, Python/Scala, SQL, CI/CD, DevOps. . Experience with largescale DWH, performance tuning, and data modeling. . Proven ability to lead multiteam delivery in enterprise environments. . Total Experience: 12 years . Relevant Experience: 7 years in Databricks and cloud data engineering . Location: Hybrid . Employment Type: Full-time
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