Senior Data Architect

1 month ago

Pune, Maharashtra, India Genpact Full time

Overview


Genpact is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.


About the Role


We invite applications for the role of Senior Data Architect – Cloud Expert. In this position, you will be responsible for designing and building modern data pipelines and data streams. The ideal candidate should have extensive experience in cloud-based data warehouses, particularly Snowflake, and Azure data lake and Azure Data Factory (ADF). They should also possess good knowledge of ETL/ELT processes, data modelling, integration, and design techniques.


Key Responsibilities



  • Implementing Snowflake as a Tech Lead and having experience in building data warehouses on Snowflake.
  • Experience in Azure data lake and Azure Data Factory (ADF).
  • Providing direction to the team on ETL/ELT processes and data modelling.
  • Maintaining good knowledge of Snowflake architecture and implementation patterns.
  • Understanding Snowflake roles and deployments of virtual warehouses.
  • Hands-on programming skills, specifically Python, snowflake, and SQL queries, along with standard DWH + ETL concepts.
  • Ability to write complex SQL queries and Stored Procedures and UDFs.
  • Creating and updating technical requirement documentation for all systems and solutions.
  • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel, and understanding how to use these features.
  • Extensive experience in Data Proofing and Data Modelling, Data Quality, Data Standardization, Data Steward.
  • Experience or knowledge of Marketing modelling is mandatory.
  • The candidate should be able to play a major role in our analytics DataMart project and help develop modern end-to-end modelling solutions in the Marketing domain.
  • Combination of Python and Snowflakes-SnowSQL; writing SQL queries against Snowflake.
  • Experience working on different source data – RDBMS, Flat files, XML, JSON.
  • Expertise in SQL, especially within cloud-based data warehouses like Snowflake and Azure.
  • Expertise with SnowSQL, advanced concepts (query performance tuning, time travel etc.) and features/tools (data sharing, events, SnowPipe etc.).
  • Experience with end-to-end implementation of Snowflake cloud data warehouse or end-to-end data warehouse implementations on-premise.

Qualifications and Requirements



  • BE/MCA/B.Tech in Computer Science, Information Systems, Engineering, related fields.
  • Full lifecycle implementation of Snowflake project experience (both migration and new implementation).
  • Must have designed and executed at least 1 project of Snowflake implementation (ideally on Azure).
  • Snowflake Certification/Azure Certification Preferred.
  • Extensive Experience on Data Analysis Projects & Expertise in writing complex DB SQL Queries.
  • Good Understanding of Data-warehousing concepts (Worked on Traditional Data warehouse projects, not just familiarity with any DB).
  • Good to have hands-on core Python scripting experience & Specialist in data analysis in Python scripting to write functions in Azure.
  • Solid experience in consulting or client service delivery experience on Snowflake and Azure.
  • Good interpersonal, problem-solving, and verbal communication skills.
  • Regulatory reporting exposure.

Salary Range:$120,000 - $160,000 per year, depending on location and experience.

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