Snowflake Lead: Architect and Developer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Snowflake Lead: Architect and Developer in the United States.

This role offers a high-impact opportunity to lead the design and implementation of enterprise data platforms built on Snowflake, shaping the organization’s data strategy and enabling AI-ready ecosystems. You will architect scalable data models, define integration patterns, and ensure robust governance, security, and performance across multi-domain platforms. Collaborating with cross-functional teams including analytics, integration, and governance, you will translate business requirements into actionable technical solutions. This role combines strategic vision, hands-on development, and leadership responsibilities in a flexible, innovative, and remote-friendly environment, providing a platform to influence the future of data-driven decision-making.

The Snowflake Lead will drive the architecture, development, and operational excellence of enterprise data systems:

• Define and own the Snowflake architecture and enterprise data platform strategy.
• Design scalable data models across enterprise, domain, and semantic layers.
• Lead architecture for data ingestion (batch, real-time, streaming), transformation (ELT), and serving (analytics, AI/ML, APIs).
• Establish and enforce data governance, security, and access controls, including RBAC, masking, and policies.
• Architect multi-domain data models (Customer, Product, Vendor, Finance, etc.) and integrate with iPaaS tools (Boomi, MuleSoft, Workato).
• Partner with Data Governance teams to ensure cataloging, lineage, and data quality alignment.
• Optimize Snowflake performance, cost, and workload management, while guiding teams on CI/CD, DevOps, and automation best practices.
• Lead stakeholder discussions, translating business needs into architecture designs, and support proposal development for new or expanded client projects.

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Requirements:

The ideal candidate combines deep technical expertise, hands-on experience, and leadership in modern data systems:

• 8+ years in data architecture, data engineering, or analytics platforms.
• Extensive hands-on experience with Snowflake architecture and enterprise data solutions.
• Strong understanding of data warehousing, lakehouse architectures, dimensional modeling, and data vault.
• Experience designing ELT pipelines, real-time and event-driven architectures.
• Proficiency in SQL and performance tuning, and experience integrating with cloud platforms (AWS, Azure, GCP).
• Knowledge of security models, including RBAC, row-level security, and data masking.
• Familiarity with data governance tools (Informatica, Collibra, Alation) and orchestration tools like dbt or Airflow is a plus.
• Experience enabling AI/ML workflows through data platforms and feature stores is advantageous.
• Strong problem-solving, collaboration, and communication skills for working with technical and non-technical stakeholders.
• Optional certifications: Snowflake SnowPro Advanced (Architect).

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Benefits:

• Competitive salary range: $120,000 – $130,000 USD, plus eligibility for annual discretionary bonus.
• Remote work flexibility across the United States.
• Comprehensive health, dental, and vision coverage, including HSA/FSA accounts, life and disability insurance, fertility and family planning benefits.
• Flexible, unlimited time off (UTO) and 11 paid federal holidays.
• 401(k) with generous company match and immediate vesting.
• Career growth opportunities with flexible advancement and mobility tracks.
• Supportive and inclusive work environment valuing individual experiences and well-being.