Snowflake Architect

Company Overview

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

Req

• 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 work streams.
• 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.

• 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 Dev Ops or Git Hub.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this hybrid onsite role is $85-$96.50/hour. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance.

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity.

We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to…