Snowflake Solution Architect
SKILLS
FULL DESCRIPTION
We are seeking a highly skilled Snowflake Solution Architect to join our Data & AI practice. The ideal candidate will have over 8 years of experience in data architecture, with a strong focus on Snowflake solutions. Responsibilities include designing scalable data platforms, engaging with clients, and leading cross-functional teams. A Bachelor's degree in Computer Science or Data Engineering is required, along with Snowflake certification. This role offers flexible work options and opportunities for continuous learning.
What you'll be doing:
Primary Responsibilities:
- Client Engagement & Delivery
- Solution Design & Implementation
- Migration & Modernisation
- Thought Leadership & Knowledge Sharing
- Collaboration & Leadership
What experience you'll 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
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.