Databricks CoE Solution Lead - Data Engineering in Chennai, भारत

Position : Databricks CoE Solution https://jobeax.com/link/EW8wgTJdsLR0cwjm : 13 to 17 https://jobeax.com/link/GbLhjfxmcVL1axhm time : 45 days https://jobeax.com/link/bwRKCqtTgoGcbu3h Location : Hyderabad, Bangalore, Chennai, https://jobeax.com/link/Ctr87F2VZuSHaskf Summary : - 10+ years in Data, Analytics, AI and Cloud transformation; 5+ years hands-on Databricks architecture and delivery.- Deep expertise in Databricks Lakehouse, Delta Lake, Unity Catalog, Databricks SQL, Workflows, Asset Bundles, MLflow and Genie.- Advanced Spark/PySpark, SQL, data modelling, ETL/ELT, performance tuning and distributed data processing.- Enterprise data platform design across Azure, AWS and/or GCP.- Strong grasp of data governance, security, metadata management, privacy, compliance and FinOps.- Databricks certifications and AI/ML, GenAI and modern analytics experience https://jobeax.com/link/YhMkugSfZS1GuAhK Skills : - Enterprise Data & AI Architecture.- Lakehouse, Lakebase & Data Platform Modernisation.- Databricks Solution Architecture & Governance.- Data Engineering, Analytics & AI/ML Enablement.- Performance Optimisation & Scalability.- Technical Consulting & Architecture Reviews.- Strategic Solutioning, Pre-sales & RFP/RFI.- CoE Development, Accelerators & Reusable Assets.- Delivery Governance & Best Practice Definition.- Partner Ecosystem Collaboration & GTM Strategy.- Capability Building, Mentoring & Innovation.- Executive Presentations & Customer https://jobeax.com/link/0rmEE4Ms54CwyfC7 Skills : - Thought leadership & continuous learning.- Strategic thinking & business outcome orientation.- Strong communication & storytelling.- Customer-first mindset with ownership & accountability.- Analytical & decision-making skills.- Cross-functional & global team https://jobeax.com/link/ZxqACVEpk2fb7E67 Responsibilities : - Serve as the Databricks SME and provide architecture leadership, governance, and best practices across data, analytics, and AI engagements.- Lead enterprise solution architecture, platform modernization, migration assessments, and Databricks adoption initiatives.- Design scalable Lakehouse, Data Engineering, Analytics, AI/ML, GenAI, and Data Governance solutions on Databricks.- Develop reusable accelerators, frameworks, reference architectures, and solution assets to drive delivery efficiency and differentiation.- Support strategic pursuits, RFP/RFI responses, customer workshops, executive presentations, and complex solutioning engagements.- Provide technical oversight and architecture governance for key programs, ensuring scalability, security, performance, reliability, and cost optimization.- Drive innovation and evaluate emerging Databricks capabilities to strengthen service offerings and technical competitiveness.- Mentor architects, SMEs, and engineering teams through knowledge sharing, coaching, and capability development initiatives.- Establish engineering standards, architecture review processes, and delivery best practices across the practice.- Collaborate with Databricks, cloud hyperscalers, and ecosystem partners to strengthen joint go-to-market and solution development efforts.- Contribute to practice growth through competency building, technical hiring, community engagement, and thought leadership. (ref:hirist.tech)