Role : Senior Data Architect

Experience : 8+ Years

Location : Pune (Hybrid)

Key Responsibilities :

- Design and implement enterprise data architectures for analytics, reporting, and AI/ML workloads.

- Lead data platform modernization and cloud migration initiatives.

- Define data models, governance standards, security frameworks, and architecture best practices.

- Architect scalable batch and real-time data processing solutions.

- Collaborate with business stakeholders, engineering teams, and solution architects to translate business requirements into technical solutions.

- Evaluate and recommend appropriate data technologies based on business and technical needs.

- Drive platform performance, scalability, reliability, and cost optimization.

- Provide technical leadership, guidance, and mentorship to data engineering teams.

Required Skills & Expertise :

Data Platforms :

- Strong hands-on experience with Snowflake and/or Databricks.

- Expertise in designing Data Warehouse and Lakehouse architectures.

- Proven experience leading enterprise migration initiatives such as :

1. Azure Synapse to Snowflake

2. Azure Synapse to Databricks

3. Azure Synapse to Microsoft Fabric

Architecture & Leadership :

- Solution Architecture & Design Documentation

- Enterprise Data Strategy

- Stakeholder Management

- Technical Leadership & Team Mentoring

Preferred Qualifications :

- Experience implementing Microsoft Fabric solutions.

- Strong knowledge of Lakehouse architecture patterns.

- Understanding of data governance frameworks and security best practices.

- Exposure to AI/ML data platforms and modern analytics ecosystems.

- Azure, Databricks, or Snowflake certifications.