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As the Head of Data Platform, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our engineering team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future.
Job Responsibility:
Roadmap and evolve the architecture of Vanta’s Snowflake‑based data warehouse, ensuring it scales to support real‑time analytics, zero‑trust principles, and FedRAMP‑capable compliance requirements
Hire, train, and develop a world‑class team of data engineers and analytics engineers, providing hands-on mentorship and creating a culture of excellence and continuous learning. Establish the two respective functions as a collaborative set of teams
Champion a security, compliance, and privacy‑first mindset across data ingestion, storage, transformation, access, and observability
Deliver a “zero‑trust” data warehouse by implementing role‑based access controls, column‑level encryption, detailed audit logging, and automated policy enforcement
Collaborate with AI, Strategic Finance, Revenue Operations, Data Science, Product Analytics, and Engineering to translate business objectives into a prioritized, measurable data platform roadmap
Own buy‑versus‑build decisions for the data stack
evaluate vendors, negotiate contracts with procurement, and integrate best‑in‑class solutions where they accelerate our mission. Hold and measure your platform decisions to a high data platform ROI solution
Be Vanta’s authoritative voice on dbt, change‑data‑capture (CDC), data orchestration patterns (Airflow/Dagster), and high‑performance database design
Oversee the Architecture to Design and implement complex data models, metadata layers, reports, and dashboards that power internal decision‑making and customer‑facing analytics
Develop front‑end applications and APIs that expose curated analytical data sets across the enterprise
Develop Data Platform Application training, access patterns and enablement that internal customers consider “awesome”, and that you measure and hold your team to the highest standards delivering
Contribute to data governance frameworks that guarantee data quality, availability, and discoverability
Requirements:
12+ years working with data
5+ years architecting and operating Snowflake at scale
2+ years of hands‑on software engineering experience
Demonstrated expertise in data storage strategies, CDC pipelines, database & BI architecture, and modern data orchestration patterns
Proven success building secure, privacy‑aware, compliant data platforms (SOC 2, HIPAA, ISO 27001
FedRAMP experience a major plus)
4+ years Experience managing, mentoring and developing data engineers and analytics engineers
comfortable managing a 5-6 person team with multiple functions (ingestion / bi) with plans to scale
System‑oriented mindset— you automate, abstract, and write maintainable, tested code
Hands‑on proficiency with the modern data stack: Snowflake, dbt, Airflow/Dagster, Fivetran/Stitch, Looker/Mode/Sigma
Strong communication skills
able to translate deep technical detail into crisp narratives for executives and cross‑functional partners
Adept at making pragmatic buy/build decisions and guiding organizations through platform migrations
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Nice to have:
FedRAMP experience
What we offer:
Offers Equity
medical benefits
401(k) plan
other company perk programs
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
16 weeks fully-paid Parental Leave for all new parents
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Commuter benefits for team members who report to the SF and NYC office
Family planning benefits
Matching 401(k) contribution with immediate vesting
Flexible PTO policy, plus 80 hours of Sick Time
11 company-paid holidays
Virtual team building activities, lunch and learns, and other company-wide events