Technical Architect – Data & AI

Location: Bangalore/Hyderabad

Experience: 10 -14 Years

Job Description:

• Excellent verbal and written communication. Should be able to speak confidently throughout the conversation
• Experience working with customer Business/IT team
• Expertise with a minimum of 5+ projects (10+ Yrs exp.)
• SQL Server and Azure SQL Database
• ADF, Databricks, PySpark
• Knowledge and experience in ETL architecture, designing ETL pipelines, Database schema designs, Data modeling techniques, Data Quality stages in various data environments like Data Lake, Data warehouse, Data Marts leveraging the Medallion Architecture
• Designing DB schema, data models on RDBMS and DW leveraging the Medallion Architecture on RDBMS and Azure Data Platform
• Programming and optimizing DB objects Views, Stored Procs, Functions
• Databricks Unity Catalog, Lakehouse
• Experience with minimum 2+ projects (3+ Yrs. exp.)
• Azure SQL DW/Synapse
• Azure Data Lake or Blob storage
• Experience working with high volume data, large objects
• Deep knowledge of the various Data Engineering components within Microsoft Fabric is preferable (including Lakehouse)
• Designing storage and data pipeline solution using Azure Data Services
• Should be able to work independently as the overall Technical in charge for the project
• Should be able to understand requirements, proactively clarify any doubts/assumptions with the team members and proficient in client interactions
• Should be able to guide Leads and developers
• Should be team player
• Should be flexible with working hours (sometimes during deployments, customer calls)
• Should be self-motivated and passionate to become a technology expert

Must haves :

• Experience working with high volume data, large objects and variety of data types
• Experience leveraging the Azure Well-architected Framework (WAF) for Assessments is preferable
• Following the design/coding best practices
• Experience of working in a challenging environment with unclear requirements and contributing collaboratively with the team to refine the requirements

Key Skills: ADF, Databricks, PySpark, Azure SQL Database, Azure Data Lake, or Blob storage