Snowflake Solution Architect
Role details
Job location
Tech stack
Job 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:
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Client Engagement & Delivery
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Solution Design & Implementation
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Migration & Modernisation
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Thought Leadership & Knowledge Sharing
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Collaboration & Leadership
Business Relationships:
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Client Partners
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Practice Leaders and Members
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Peer-level relationships within client organisations up to Head of Data Engineering, Head of Data Architecture, and Chief Data Architect level
Requirements
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8+ years data architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track record
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Technical leadership at scale - Leading 15+ person cross-functional teams and serving as technical escalation point for C-level stakeholders
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Full data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance, security, and both batch/real-time processing
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Business-technology translation - Ability to align data strategy with business objectives and communicate across all stakeholder levels
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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:
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Presales & business development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activities
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Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality management
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AI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architectures
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Agile delivery & thought leadership - Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharing
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Cloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code
Experience & Qualifications:
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Experience: Minimum 7-10 years in data architecture, engineering, or consulting roles, with at least 3+ years in Snowflake solution architecture.
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Education: University degree required.
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Preferred: BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certification(s) strongly desirable.