Analytics Lead (Microsoft Fabric | Databricks | Snowflake)

Title : Analytics Lead (Microsoft Fabric | Databricks | Snowflake)

Job Location: Mumbai (Mulund West)

Exp : 8 to 14 years

Role Overview:

We are looking for an experienced Analytics Practice Lead to build and scale our next-generation Data & Analytics practice across Microsoft Fabric, Databricks, and Snowflake ecosystems. The ideal candidate should possess deep expertise in enterprise analytics delivery, modern data platforms, data engineering, BI & AI architecture, governance, and analytics transformation programs. This individual will play a strategic leadership role in defining delivery methodology, establishing scalable team structures, building reusable accelerators, driving customer success, and enabling organizational capability growth.

The role demands a blend of:

• Delivery leadership
• Technical architecture understanding
• Practice building mindset
• Team mentoring capability
• Customer-facing consulting experience
• Operational excellence

Key Roles & Responsibilities

1. Practice Building & Strategy

• Define and build the organizations Analytics & Data Platform practice across:
• Microsoft Fabric
• Databricks
• Snowflake
• Establish practice vision, roadmap, offerings, and delivery standards.
• Create scalable service offerings around:
• Data Engineering
• Data Warehousing
• BI & Reporting
• Lakehouse Architecture
• AI/ML Enablement
• Data Governance
• Modernization & Migration
• Define reusable accelerators, frameworks, templates, and best practices.
• Drive partnerships and alignment with platform OEMs and ecosystem partners.

2. Delivery Leadership & Execution Governance

• Lead end-to-end execution of enterprise analytics and data transformation programs.
• Define delivery methodology for analytics projects including:
• Discovery & Assessment
• Solution Architecture
• Sprint Planning
• Data Modeling
• ETL/ELT Development
• Testing & Reconciliation
• Performance Optimization
• UAT & Go-Live
• Hypercare & Support
• Build standardized project governance models and delivery playbooks.
• Ensure projects are delivered with:
• High quality
• Predictable timelines
• Scalable architecture
• Strong documentation standards
• Conduct architecture reviews and delivery quality audits.
• Handle program risks, escalation management, and customer communication.

3. Analytics & Data Architecture Leadership

• Provide architectural leadership across modern analytics ecosystems.
• Design scalable enterprise architectures involving:
• Lakehouse
• Medallion Architecture
• Real-time Analytics
• Semantic Models
• Data Mesh / Data Fabric concepts
• Enterprise Reporting Platforms
• Guide teams on:
• Data modeling strategies
• Performance optimization
• Cost optimization
• Governance & security
• DevOps / CI-CD
• DataOps & MLOps
• Ensure best practices for enterprise-grade analytics implementations.

4. Team Structure & Capability Development

• Define scalable organization structure for analytics delivery teams.
• Establish role definitions for:
• Data Engineers
• Analytics Consultants
• BI Developers
• Architects
• Platform Administrators
• QA & Data Validation Teams
• Project Managers
• Build competency matrices and career progression frameworks.
• Define learning roadmaps and certification plans across:
• Fabric
• Databricks
• Snowflake
• Power BI
• AI & ML
• Data Governance
• Mentor delivery managers, architects, and engineering teams.
• Conduct internal capability-building workshops and knowledge sessions.

5. Pre-Sales & Solutioning

• Support business development and pre-sales engagements.
• Participate in:
• Customer discovery workshops
• Solution presentations
• Estimation exercises
• Proposal creation
• RFP/RFI responses
• Architecture discussions
• Define implementation approach, effort estimates, and staffing models.
• Collaborate with sales teams to position analytics transformation offerings.

6. Innovation & Accelerators

• Build reusable assets and accelerators for faster project execution.
• Drive innovation around:
• AI-enabled analytics
• GenAI use cases
• Automated data pipelines
• Metadata-driven frameworks
• Self-service analytics
• Create industry-specific analytics solution blueprints.
• Evaluate emerging technologies and define adoption strategies.

7. Customer & Stakeholder Management

• Act as a trusted advisor for enterprise customers.
• Build strong relationships with CXOs, business users, and IT stakeholders.
• Conduct steering committee meetings and executive reviews.
• Translate business objectives into scalable analytics strategies.
• Ensure high customer satisfaction and long-term engagement success.

Desired Skills & Experience

Technical ExpertiseStrong hands-on and architectural understanding of:

• Microsoft Fabric
• Databricks
• Snowflake
• Power BI
• SQL & Data Warehousing
• Spark / PySpark
• ETL / ELT frameworks
• Cloud platforms:
• Azure
• AWS
• GCP
• Data Governance & Security
• Lakehouse Architecture
• CI/CD & DevOps for analytics

Leadership Experience

• 12+ years in Data & Analytics domain.
• Experience managing enterprise-scale analytics programs.
• Proven experience in building and scaling analytics practices.
• Strong understanding of delivery governance and operating models.
• Experience handling multi-customer delivery portfolios.

Soft Skills

• Strong consulting mindset
• Executive communication capability
• Team mentoring & leadership
• Problem-solving orientation
• Strategic thinking
• Stakeholder management
• Excellent presentation skills

Success Metrics for This Role

The candidate will be evaluated on:

• Practice growth & maturity
• Successful project delivery
• Customer satisfaction
• Team capability development
• Reusable accelerator creation
• Delivery profitability
• Certification & learning adoption
• Pre-sales contribution
• Innovation initiatives launched