Sr. Lead Data Architect

Area(s) of responsibility

Skills: Sr. Data Architect (Snowflake & Databricks)Experience: 16+ years

Location: Noida/ Mumbai/ Pune/ Bangalore/ Hyderabad/ Chennai

Role Overview:

We are seeking a highly experienced Data Architect with deep expertise in modern cloud data platforms, specifically Snowflake and Databricks. The ideal candidate will be responsible for designing, developing, and governing scalable, high-performance data architectures that support advanced analytics, AI/ML, and enterprise data initiatives. This role requires a strategic thinker who can translate business requirements into robust technical solutions while ensuring data quality, security, and scalability.

Key Responsibilities:

• Design and implement end-to-end data architecture across Snowflake and Databricks platforms.
• Define data modeling standards including dimensional, normalized, and Data Vault models.
• Architect scalable data lakes, lakehouses, and data warehouses using best practices.
• Lead data integration strategies using ETL/ELT frameworks leveraging tools like ADF, dbt, and Spark.
• Optimize performance and cost across Snowflake and Databricks environments.
• Implement data governance, security, lineage, and compliance frameworks.
• Enable real-time and batch data processing architectures.
• Collaborate with business stakeholders to align data strategy with business goals.
• Mentor engineering teams and enforce architectural standards.

Technical Skills & Expertise

• Strong expertise in Snowflake: architecture design, Snowpipe, Streams/Tasks, performance tuning,

and data sharing.

• Advanced knowledge of Databricks: Delta Lake, Lakehouse architecture, Spark (PySpark/Scala), and

performance optimization.

• Experience with Databricks features such as Unity Catalog, Delta Live Tables, MLflow, and Mosaic AI.
• Proficiency in SQL, Python, and distributed data processing frameworks.
• Hands-on experience with cloud platforms (Azure/AWS/GCP) and related services.
• Strong understanding of data ingestion, transformation, orchestration, and data warehousing

concepts.

• Experience with data visualization tools such as Power BI, Tableau, or Qlik.

Architecture & Design Capabilities

• Design hybrid architectures leveraging Snowflake for warehousing and Databricks for advanced

analytics and ML workloads.

• Define data lakehouse strategies integrating structured, semi-structured, and unstructured data.