Databricks CoE Solution Lead

Position - Databricks CoE Solution Lead

Exp- 13 to 17 Years

Joining time - 45 days Max

Job Location - Hyderabad, Bangalore, Chennai., Pune

• 10 plus 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

Required Skills

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.