Snowflake Lead

Req ID:    

We are currently seeking a Snowflake Lead to join our team in Remote, Karnātaka (IN-KA), India (IN).

Job Duties: Roles & Responsibilities 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. Minimum Skills Required: Experience 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. Technical Skills 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.). 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. Soft Skills 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.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.