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.
Please note: Due to requirements from our customers, all candidates must be eligible for SC clearance so please consider when applying.
What you'll be doing:
Primary Responsibilities
- Client Engagement & Delivery
- Solution Design & Implementation
- Migration & Modernisation
- Thought Leadership & Knowledge Sharing
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 you'll bring:
- 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
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.
- Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certification(s) strongly desirable.
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.
Please note: Due to requirements from our customers, all candidates must be eligible for SC clearance so please consider when applying.
What you’ll be doing:
Primary Responsibilities
- Client Engagement & Delivery
- Solution Design & Implementation
- Migration & Modernisation
- Thought Leadership & Knowledge Sharing
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 you’ll bring:
- 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
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.
- Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certification(s) strongly desirable.
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