IT & Software

Snowflake Solution Architect

The Nippon Telegraph And Telephone Corporation (NTT)

London · Greater London · United Kingdom

Overview

In this role you will lead the design and implementation of Snowflake-based data platforms for enterprise clients, aligning technology with business goals. You’ll guide data platform modernisation and enable data democratisation, advanced analytics, and AI-driven insights in collaboration with multidisciplinary teams. You’ll act as a trusted advisor to client partners and senior stakeholders, shaping Snowflake strategies and best practices. This opportunity offers exposure to diverse sectors and a path to influence large-scale data transformation.

Responsibilities
  • Client engagement & delivery: collaborate with clients to define architecture and ensure successful outcomes
  • Solution design & implementation: architect Snowflake-based data platforms and associated pipelines
  • Migration & modernisation: lead upgrade and transition of legacy systems to Snowflake
  • Thought leadership & knowledge sharing: contribute to practice assets and propagate best practices
  • Collaboration & leadership: work with Practice Leaders, client executives, and cross-functional teams
Key requirements
  • Proven expertise in designing and implementing Snowflake architectures for enterprise clients
  • Strong consulting values and ability to engage with senior stakeholders
  • Hands-on experience with SQL, ETL/ELT pipelines, and BI/analytics tools
  • Deep understanding of the data lifecycle (ingestion, storage, processing, governance, consumption)
  • Ability to align business objectives with technology strategy and execution
  • Strong problem-solving, analytical, and communication skills
  • Experience leading data modernisation initiatives across multiple sectors (banking, insurance, telecom, public sector, manufacturing, retail)
  • consulting mindset
  • stakeholder management
  • analytical thinking
  • Snowflake features (data sharing, Snowpark, zero-copy cloning, performance tuning)
  • Cloud ecosystems (AWS, Azure, GCP) and Terraform
  • Databases, data warehouses, distributed processing frameworks

Reference: WJ-747_30184937

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