We are seeking an accomplished and highly skilled Snowflake Solution Architect to join our Data & AI practice. The successful candidate will bring deep expertise in designing and implementing Snowflake-based cloud data platforms that are scalable, secure, and business-aligned. This individual will play a pivotal role in guiding enterprise clients through their data platform modernisation journey, leveraging Snowflake’s capabilities to enable data democratisation, advanced analytics, and AI-driven insights.

As a trusted advisor, you will collaborate with client partners, business stakeholders, and technology teams to define Snowflake strategies, design robust architectures, and implement best practices. You will thrive in a fast-evolving technology environment, continuously expanding your knowledge to ensure NTT DATA and our clients remain at the forefront of data innovation.

Looking ahead to future opportunities: As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise.

Primary Responsibilities

• Client Engagement & Delivery
• Solution Design & Implementation
• Migration & Modernisation
• Thought Leadership & Knowledge Sharing
• Collaboration & Leadership

Business Relationships

• Client Partners
• Practice Leaders and Members
• Peer-level relationships within client organisations up to Head of Data Engineering, Head of Data Architecture, and Chief Data Architect level

Competencies / Critical Skills

Key Competencies

• Proven expertise in designing and implementing Snowflake architectures for enterprise clients.
• Strong consulting values with the ability to interface effectively 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 link business objectives with technology strategy and execution.
• Strong problem-solving, analytical, and communication skills.
• Experience leading data modernisation initiatives across multiple sectors (e.g., banking, insurance, telecom, public sector, manufacturing, retail).

Technical Expertise

• Extensive experience with Snowflake features (e.g., data sharing, Snowpark, zero-copy cloning, performance tuning).
• Proficiency in cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (e.g., Terraform).
• Strong background in databases, data warehouses, and distributed processing frameworks.
• Familiarity with BI and data exploration tools (e.g., Tableau, Power BI, Talend).
• Experience with data security, governance, and compliance frameworks.
• Expertise in large-scale ETL/ELT pipeline implementation using custom and packaged tools.

Experience, Qualifications, and Education

• Experience: Minimum 7–10 years in data architecture, engineering, or consulting roles, with at least 3+ years in Snowflake solution architecture.
• Ideally SnowPro Core certification or above.
• Education: University degree required.
• Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certification(s) strongly desirable.

Measures of Success

• Successful delivery of Snowflake data platforms aligned to client objectives.
• High client satisfaction and repeat engagements.
• Demonstrated leadership in data modernisation initiatives.
• Contribution to practice growth through assets, propositions, and thought leadership.