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Snowflake solution architect

London
Solution architect
Posted: 10h ago
Offer description

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. What youll be doing: 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 What experience youll bring: Must-Have Competencies: • 8 years data architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track record • Technical leadership at scale - Leading 15 person cross-functional teams and serving as technical escalation point for C-level stakeholders • Full data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance, security, and both batch/real-time processing • Business-technology translation - Ability to align data strategy with business objectives and communicate across all stakeholder levels • Snowflake platform expertise - Deep hands-on experience with Snowflake architecture, data sharing, Snowpark, performance tuning, and cloud ecosystem integration Must be eligible for SC clearance Nice to Have: • Presales & business development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activities • Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality management • AI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architectures • Agile delivery & thought leadership - Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharing • Cloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code Experience & Qualifications: • Experience: Minimum 7–10 years in data architecture, engineering, or consulting roles, with at least 3 years in Snowflake solution architecture. • Education: University degree required. • Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certification(s) strongly desirable. Who we are: We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ & Allies Network, Neurodiversity Network and the Parent Network.

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