Snowflake Architect
Listed on 2026-01-01
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IT/Tech
Data Engineer
Req :348707
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.
We are currently seeking a Snowflake Architect to join our team in Chicago, Illinois (US-IL), United States (US).
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 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.
Skills Required:
- 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.
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.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for…
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