Job Title:  Director | Databricks | Mumbai | Engineering | Data Modernization & Migration

The team

The team must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth.

Key Responsibilities

• Business Development: Drive Azure Databricks, Data & AI consulting sales, revenue growth, account expansion, and new business opportunities.
• Client Advisory: Advise senior executives on data strategy, analytics modernization, AI adoption, cloud transformation, and digital transformation.
• Data Transformation: Lead enterprise-scale data modernization, migration, analytics, data lakehouse, and AI/ML transformation programs.
• Architecture: Define target-state data architectures, platform strategies, governance frameworks, and operating models.
• Azure Databricks: Lead adoption and implementation of Azure Databricks and modern lakehouse architectures.
• Data & AI: Drive Data Engineering, AI/ML, GenAI, MLOps, advanced analytics, and modern data platform initiatives.
• Solutioning: Lead solution architecture, technical strategy, proposals, estimations, and client solutioning.
• Delivery Governance: Oversee delivery governance, program risks, quality, timelines, budgets, and client satisfaction.
• Practice Development: Build and grow Azure Databricks, Data Engineering, Data & AI consulting capabilities.
• Account Management: Develop strategic client relationships and identify opportunities for account expansion.
• Team Leadership: Lead, mentor, and develop data architects, engineering leaders, consultants, and technical teams.
• Innovation: Identify emerging data and AI technologies and develop innovative solutions that create measurable business value.

Required Experience

• Experience: 15+ years of experience in Data & Analytics, Cloud Transformation, Data Engineering, or Technology Consulting.
• Transformation: 8+ years of experience leading enterprise-scale data modernization and transformation programs.
• Consulting: Proven experience in consulting sales, business development, client relationship management, and practice development.
• Industry: Strong experience delivering large-scale data platforms and transformation programs across BFSI, Retail, Manufacturing, Healthcare, Telecom, or similar industries.
• Leadership: Proven experience leading large consulting, architecture, data engineering, and technology teams.
• Executive Engagement: Experience working with CIOs, CDOs, CTOs, and senior business stakeholders.

Technical Expertise

• Azure Databricks: Delta Lake, Unity Catalog, Lakehouse Architecture, Structured Streaming, and Databricks Data Engineering.
• Microsoft Fabric: Fabric Data Engineering, Analytics, Lakehouse, and modern data platform capabilities.
• Azure Data Services: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Event Hub.
• Azure AI: Azure AI Services and Azure OpenAI Services.
• Data Architecture: Modern Data Platforms, Data Lakehouse, Data Warehousing, Data Integration, and Data Migration.
• Data Governance: Data Governance, Data Quality, Metadata Management, Master Data Management, and Data Security.
• Analytics: Business Intelligence, Advanced Analytics, Data Visualization, and Enterprise Reporting.
• AI/ML: AI/ML, MLOps, Generative AI, Machine Learning Platforms, and AI-enabled analytics.