Senior Snowflake Engineer

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NTT DATA is seeking a hands‑on Senior Snowflake Engineer to provide senior technical leadership across enterprise Snowflake implementations. The role combines deep Snowflake engineering expertise with proven delivery of complex, secure, scalable, performant and cost‑effective solutions into production.

Working as a technical peer to Data Architects, Solution Architects and delivery teams, the engineer will shape implementation decisions, lead critical work streams, resolve complex engineering challenges and strengthen delivery standards. This is not a management or theory‑led architecture role. The successful candidate must remain close to the technology and take direct ownership where complexity, delivery risk or engineering quality requires senior intervention.

• Lead the engineering of enterprise Snowflake data platforms and data products from design through deployment, stabilisation and optimisation.
• Take hands‑on ownership of technically complex or high‑risk implementation components and lead Snowflake technical work streams.
• Contribute implementation expertise to solution design and evaluate decisions for scalability, performance, security, maintainability, operational supportability and cost.
• Define and apply engineering standards, proven implementation patterns, reusable reference solutions and accelerators.
• Design and implement appropriate batch, near real‑time and real‑time ingestion, transformation and processing patterns.
• Resolve complex issues across ingestion, transformation, modelling, integration, SQL workloads, warehouse configuration, compute utilisation, security and platform operations.
• Drive performance tuning and cost optimisation without compromising reliability, scalability or delivery outcomes.
• Implement appropriate security, access and governance controls for sensitive and regulated data.
• Review code, configurations and implementation approaches for quality, maintainability, production readiness and technical assurance.
• Support deployment, production stabilisation and complex troubleshooting where senior Snowflake expertise is required.
• Guide delivery teams through practical technical leadership, constructive challenge, knowledge transfer and sound trade‑off decisions grounded in production experience.
• Contribute to the development and consistency of Snowflake engineering capability across the wider Data & AI practice.

• Snowflake platform architecture and configuration, Snowpipe, Streams and Tasks, Dynamic Tables, stored procedures, Snowflake Scripting and advanced SQL.
• Query optimisation, performance tuning, warehouse sizing, workload management, compute and storage optimisation, cost management, monitoring and troubleshooting.
• Enterprise data engineering, including ELT/ETL, ingestion, batch and streaming patterns, CDC, transformation frameworks, orchestration, data quality, error recovery and operational support.
• Enterprise data warehouses, modern data platforms, data lakes or lake houses, data products, dimensional and analytical modelling, and integration across multiple source systems.
• Snowflake security and governance, including RBAC, Secure Views, Secure Data Sharing, access controls, environment separation and production access management.
• Modern engineering practices, including cloud platforms such as AWS, Microsoft Azure or Google Cloud, Infrastructure as Code, CI/CD, Git workflows, observability, APIs,…