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
- Robust 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

📌 Analytics Lead (Microsoft Fabric | Databricks | Snowflake) (Mumbai)
🏢 Aumento Technologies
📍 Mumbai