
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 :
i. Azure Synapse to Snowflake
ii. Azure Synapse to Databricks
iii. 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.
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