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Snowflake Lead

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NTT DATA

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Location:
India , Remote

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Snowflake Lead will be responsible for leading the architecture and design of Snowflake-based data platforms on Azure. The role requires a minimum of 8 years of experience in data engineering, with a strong focus on Snowflake and Azure services. Candidates should possess excellent leadership and communication skills, as well as a deep understanding of data modeling and ETL processes. This position offers the opportunity to work in a dynamic and innovative environment, contributing to significant data migration projects.

Job Responsibility:

  • Lead the end-to-end architecture and design of Snowflake-based data platforms on Azure, including integration with Azure services (ADF, Synapse pipelines, Azure Functions, Key Vault, ADLS, etc.)
  • Define and implement data modeling standards (star/snowflake schema, data vault, dimensional modeling) tailored for analytics, BI, and downstream data products
  • Design secure, scalable, and cost-efficient Snowflake environments, including warehouses, databases, schemas, roles, resource monitors, and virtual warehouses
  • Lead migration strategy and roadmap for moving data from legacy/on-prem systems to Snowflake on Azure
  • Work with stakeholders to assess current state (source systems, ETL, reporting, data quality) and design target-state architecture on Snowflake
  • Define migration waves/phases, including data profiling, schema conversion, historical load, incremental load, and cutover strategy
  • Oversee and implement data ingestion pipelines from various sources (databases, flat files, APIs, streaming) into ADLS / Landing zones and then into Snowflake using tools like Azure Data Factory, Synapse pipelines, or Databricks, plus CDC where applicable
  • Manage data reconciliation and validation to ensure completeness, accuracy, and performance parity (or improvement) compared to legacy platforms
  • Lead a team of data engineers / ETL developers delivering Snowflake-based solutions and migration workstreams
  • Define and enforce coding standards, code review practices, and CI/CD pipelines for Snowflake objects (SQL, stored procedures, views, tasks, streams)
  • Design & build ELT/ETL patterns (staging → raw → curated → semantic layers), using tools such as dbt, ADF, Synapse, Databricks, or other orchestration tools
  • Implement automated testing frameworks (unit tests, regression tests, data quality checks) and monitoring (SLAs)
  • Monitor query performance and optimize Snowflake workloads using query profiling, clustering, partitioning, and warehouse sizing strategies
  • Implement resource monitors, auto-scaling, and auto-suspend policies to optimize compute usage and manage Snowflake consumption costs

Requirements:

  • 8+ years overall experience in Data Engineering / Data Warehousing / Analytics
  • 5+ years hands-on experience with Snowflake in production environments
  • Proven experience leading at least one large end-to-end migration from on-prem / legacy DWH to Snowflake on Azure (Netezza, Yellowbrick, Oracle, SQL Server, etc.)
  • Strong experience with Azure cloud services: Azure Data Factory, Data Lake Storage (ADLS), Azure Databricks and/or Synapse, Key Vault, Azure DevOps or GitHub
  • Strong expertise in SQL (complex queries, window functions, performance tuning)
  • Deep understanding of Snowflake features: Virtual warehouses, micro-partitioning, clustering, tasks, streams, time travel, zero-copy cloning, external tables, Snowpipe, etc.
  • Experience with ELT/ETL tools and frameworks: Azure Data Factory, Databricks, Synapse, dbt, or similar
  • Strong data modeling skills (dimensional modeling, 3NF, data vault is a plus)
  • Hands-on experience setting up CI/CD pipelines for data and Snowflake objects (Azure DevOps, GitHub Actions, etc.)
  • Strong leadership and team management capabilities
  • ability to lead mixed onshore/offshore teams
  • Excellent communication skills, able to explain complex technical topics to non-technical stakeholders
  • Strong problem-solving, analytical, and decision-making skills

Nice to have:

  • Familiarity with Python / Spark / Scala is a plus, especially for large-scale transformations or Databricks-based workloads
  • Experience working with BI tools (Power BI, Tableau, Looker, etc.) against Snowflake

Additional Information:

Job Posted:
January 26, 2026

Work Type:
Remote work
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