Databricks CoE Solution Lead - Data Engineering
Techs To Suit · Hyderabad; Bangalore; Chennai; Pune ·
- Seniority
- Lead
- Category
- Data engineering
- Experience
- 5+ years
Techs To Suit · Hyderabad; Bangalore; Chennai; Pune ·
Position : Databricks CoE Solution Lead.
Experience : 13 to 17 Years.
Joining time : 45 days Max.
Job Location : Hyderabad, Bangalore, Chennai, Pune.
Professional 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 preferred.
Core 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 Advisory.
Soft 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 collaboration.
Key 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.