Lead Data Platform Engineer
This role is responsible for shaping and maintaining a modern data platform that securely supports both human and AI-driven data consumption. Working primarily within Snowflake and dbt, the engineer will design systems that prioritize security, scalability, and long-term maintainability, enabling reliable access across the organization.
Data Platform & AI Enablement
Design data models, metadata frameworks, and access patterns that support natural language queries and AI-assisted analysis. Establish foundational data structures that deliver consistent, timely, and trustworthy outputs for AI systems. Ensure all automated access occurs through governed service accounts with role-scoped permissions, aligned with enterprise data classification and audit requirements.
Security, Access & Identity Governance
Architect and enforce role-based access controls in Snowflake, including row- and column-level security, ensuring alignment with enterprise identity and access management (IAM) standards. Implement technical controls that reflect approved policies, integrating with SSO and SCIM for automated provisioning, deprovisioning, and access reviews. Build governance into the platform so compliance is structural, not procedural.
Operational Excellence & Platform Leadership
Develop CI/CD pipelines, testing strategies, and deployment patterns for dbt and Snowflake to ensure accuracy by default. Define platform standards, templates, and reusable components that increase team velocity without compromising quality. Reduce manual intervention by creating automated guardrails and scalable systems. Lead Snowflake resource governance, cost optimization, and performance tuning to improve efficiency and reduce overhead.
Collaboration & Technical Strategy
Partner with Data Operations, Security, Compliance, IT, and Cloud Engineering teams to align data infrastructure with enterprise cloud security baselines, network segmentation, and governance policies. Support access reviews and control validation with clear separation between policy, approval, and implementation. Act as a technical advisor across data initiatives, promoting reuse, reliability, and responsible innovation.
Qualifications
- 7+ years in data or platform engineering with ownership of production data systems
- Deep experience with Snowflake: RBAC, security models, warehouse optimization, and performance tuning
- Strong background in dbt, including macro development, testing, deployment, and model security
- Advanced SQL and ELT/ETL pipeline design skills
- Ability to balance tradeoffs between correctness, access, cost, and speed
- Clear communication skills across technical and non-technical audiences
Preferred Experience
- dbt certification
- Experience supporting AI/ML or natural-language data interfaces
- Familiarity with data observability, lineage, or metadata tools
- Background in self-service analytics platforms
- Exposure to BI tools such as Sigma, Looker, or Tableau
- Experience in lean, high-growth environments where efficiency and leverage are key
Technical Environment
Snowflake, dbt, SQL, ELT/ETL, CI/CD, SSO, SCIM, IAM, RBAC, row- and column-level security, cloud security, network segmentation, identity governance
Benefits
- Market-competitive compensation based on Carta data
- Employee recognition via Bonusly
- 401(k) with 50% company match up to 6% of salary after 90 days
- Unlimited paid time off
- Paid volunteer days and company holidays
- Employer-contributed medical, dental, and vision coverage
- HSA and FSA options
- 12 weeks paid primary parent leave, 4 weeks secondary parent leave (including adoption)
- Company-sponsored events and team gatherings
Culture
A collaborative environment built on curiosity, open feedback, and mutual trust. Team members embrace lifelong learning, celebrate each other’s successes, and approach their work with empathy and joy. There's a shared commitment to philanthropy and technology, with an emphasis on human connection, inclusivity, and serving others—no task is beneath anyone.
