Principal Data Architect (Snowflake)

Sparq

23h • Hybrid

About The Position

We are seeking a Principal Data Architect with deep Snowflake expertise to lead the design and evolution of a modern, cloud-native data platform. You will be responsible for architecting medallion/lakehouse patterns, enforcing data governance across sensitive and regulated datasets, and translating architectural decisions into clear commercial trade-offs for stakeholders. This is a hands-on architecture role with real influence over platform direction.

Requirements

• Deep, hands-on Snowflake architecture experience; SnowPro Advanced: Architect certification strongly preferred
• Proven track record designing medallion/lakehouse patterns and managing schema evolution at enterprise scale
• Strong Azure data-platform experience including storage, networking, and private connectivity, with knowledge of Azure SQL source systems
• Expert-level understanding of data governance and security: classification, tagging, RBAC, dynamic data masking, and Snowflake Horizon for sensitive and regulated PII
• Hands-on familiarity with the modern ingestion tool landscape: Fivetran, CData, dbt, Snowpark, and Salesforce as a data source
• Ability to build consumption and cost forecasts and translate technical decisions into commercial trade-offs for executive audiences
• Hands-on experience using AI tools to enhance daily work, or a strong desire to do so, including a willingness to experiment, learn, and champion AI adoption within your role
• Strong communication skills with the ability to explain complex architectural concepts to technical, business, and executive stakeholders

Nice To Haves

• Exposure to Snowflake Cortex AI, LLM-on-warehouse capabilities, semantic model design, RAG database table design, or Cortex Search is a plus.
• If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you’ll fit right in.

Responsibilities

• Design and evolve scalable Snowflake-based data architectures incorporating medallion and lakehouse patterns with robust schema evolution strategies
• Architect and implement data governance and security frameworks including classification, tagging, RBAC, and dynamic data masking for PII and regulated data using Snowflake Horizon
• Lead integration design across the ingestion stack, including Fivetran, CData, dbt, Snowpark, and Salesforce as a primary source system
• Collaborate with Azure data platform teams to design storage, networking, and private connectivity patterns, with strong knowledge of Azure SQL source systems
• Actively leverage AI tools to streamline work and champion AI adoption across your team
• Build consumption and cost forecasting models; articulate architectural trade-offs and their business implications to executive stakeholders
• Define and enforce standards for data modeling, pipeline design, data quality, lineage, and observability across the platform
• Partner with data engineering, analytics, security, and compliance teams to ensure platform decisions align with regulatory requirements
• Mentor engineers and elevate system-level thinking across the team

Benefits

• Ongoing investment in your growth through training, mentorship, and industry certifications
• Hands-on exposure to cutting-edge technologies across multiple industries
• Recognition programs and employee awards within an inclusive culture that celebrates great work, including our AI Innovators Program
• Remote or hybrid work options
• Competitive salary + bonus opportunities
• Robust benefits package, matching 401(k) plan, and substantial PTO
• Tuition reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed