Senior Data Platform Manager, Foodsmart
$200-225k
+ Bonus & Equity. Salary applicable to San Francisco - may vary in other locations
SQL
Python
Looker
Airflow
Redshift
Snowflake
BigQuery
dbt
Expert level
Remote from US
Telenutrition & foodcare network
Open for applications
Telenutrition & foodcare network
501-1000 employees
B2CPersonal healthMarketplaceFoodNutritionWellbeing
Open for applications
$200-225k
+ Bonus & Equity. Salary applicable to San Francisco - may vary in other locations
SQL
Python
Looker
Airflow
Redshift
Snowflake
BigQuery
dbt
Expert level
Remote from US
501-1000 employees
B2CPersonal healthMarketplaceFoodNutritionWellbeing
Company mission
To provide simple solutions to accomplish health goals through a personalized program.
Role
Who you are
- A hands-on technical leader who focuses on scaling through team capability, prioritizing architectural depth over individual keyboard output
- A systems thinker who prioritizes fixing the class of problem over the instance, building durable solutions that solve recurring challenges
- A strategic partner to cross-functional pods, capable of translating complex business needs into concrete technical roadmaps for stakeholders
- A "Bridge-Builder" who moves seamlessly between architecting with senior engineers and explaining the organizational impact of data performance to leadership
- Pragmatic regarding technical debt, balancing delivery speed with the architectural discipline required to maintain a performant, stable platform
- Expertly opinionated about dimensional modeling and semantic layers, ensuring the platform footprint scales without creating fragmented definitions
- Clear-eyed about the steward’s responsibility when architecting controls for PHI and sensitive clinical datasets
- Over a decade of expertise in data engineering or platform domains, with at least 4 years dedicated to leading and scaling high-performing teams
- Demonstrated hands-on mastery of modern cloud data warehouses (Snowflake, BigQuery, or Redshift) and sophisticated orchestration frameworks like Dagster or Airflow
- Expert-level dbt proficiency, encompassing large-scale project architecture, semantic layer implementation, and seamless integration with BI tools such as Looker or Omni
- Advanced command of dimensional modeling at scale, supported by expert SQL abilities and strong Python engineering skills
- A deep commitment to Data Reliability Engineering (DRE), with a proven history of architecting CI/CD pipelines and automated quality testing within dbt ecosystems
- The ability to influence without authority, successfully driving the adoption of architectural standards and new tooling across cross-functional engineering pods
- Experience serving as a strategic technical peer to Analytics and Data Science teams, functioning as an architectural partner rather than a support service
- A successful background in managing distributed engineering talent, including domestic and offshore collaborators
- Professional fluency in HIPAA regulations and experience architecting infrastructure for sensitive healthcare data, including claims, eligibility, and clinical records
- Operational experience with AI-native development tools like Cursor or Claude Code, utilizing them as force multipliers in production workflows
What the job involves
- We are seeking a Director of Data Platform to take end-to-end ownership of our data lifecycle: from the moment information lands in our warehouse to its final modeling and delivery to the stakeholders and systems driving our mission forward
- In this role, you will architect the platform’s reliability and performance, managing pipeline orchestration, our dbt project, and the foundational models that keep BI, experimentation, and AI tools synchronized
- You will navigate a complex domain involving medical claims, clinical outcomes, and multi-payer eligibility for 2.2 million members, all within a strict HIPAA-compliant environment. To achieve this, you will lead and mentor a senior, distributed data engineering team comprising both domestic and offshore talent
- You will serve as a strategic peer to the Analytics & Data Science team
- Together, you will define the architectural vision for our data foundation, ensuring a seamless handoff where they build downstream analytics on the standards you establish
- Success in this role requires maintaining a clear, documented boundary between core platform systems and analytics engineering to eliminate ambiguity in ownership
- As a hands-on technical leader, you will focus on scaling the platform through your team’s capabilities rather than individual output
- You are a systems thinker who prioritizes fixing the class of problem over the instance, creating durable capabilities that accelerate every downstream team
- You will drive excellence through rigorous design reviews and architectural discipline
- Your impact will span the entire organization, partnering with Analytics, Finance, and cross-functional pods dedicated to clinical and member-facing challenges
- You will make these collaborations effective by conducting standing roadmap reviews and ensuring platform capacity is allocated transparently and strategically, rather than responding to one-off, isolated requests
- ARCHITECT THE DATA FOUNDATION:
- Take end-to-end ownership of the data lifecycle, managing everything from pipeline orchestration and our dbt project to the warehouse infrastructure, ensuring peak performance and reliability
- Instill a "Data-as-a-Product" philosophy across the organization, treating internal teams as customers by defining rigorous SLAs for data quality, freshness, and accessibility
- Establish proactive data observability and contracts, shifting the culture from reactive troubleshooting to a disciplined system that identifies regressions before they impact downstream stakeholders
- Translate ambiguous business needs into concrete technical roadmaps, leading discovery with cross-functional partners to turn recurring pain points into scalable architectural solutions
- Direct the evolution of our foundational models, applying expert-level dimensional modeling and star schema designs to ensure the platform scales with our AI and analytics footprint
- Serve as a strategic partner to Analytics & Data Science, co-architecting the semantic and context layers to establish the standards they build upon
- Maintain a documented, transparent boundary between our core product systems and the analytics environment to ensure clarity of ownership
- EMPOWER AND SCALE THE TEAM:
- Mentor and scale a high-performing, distributed data engineering team comprising domestic and offshore talent
- Delegate with strategic intent, focusing on expanding platform capacity through the team's technical growth rather than your own individual keyboard output
- Drive technical excellence and architectural discipline through rigorous design reviews, RFCs, and code audits
- PARTNER STRATEGICALLY ACROSS THE BUSINESS:
- Act as the technical counterpart to the Analytics & Data Science leadership, ensuring platform investments align with the company's long-term trajectory
- Conduct standing roadmap reviews with key stakeholders to prioritize effectively, unblock initiatives, and ensure capacity allocation is transparent
- Collaborate with cross-functional pods to ensure data requirements are integrated into the problem definition phase, creating durable rather than isolated solutions
- Prioritize fixing classes of problems over instances, building permanent platform capabilities that solve recurring stakeholder challenges
- STEWARD CRITICAL DATA OPERATIONS:
- Direct the data infrastructure supporting revenue cycle management and billing, ensuring the pipelines powering Finance remain flawless
- Manage the integrations and models for our member lifecycle systems, guaranteeing that engagement and attribution data remain consistent across the warehouse
- Build resilience into vital business reporting through sophisticated automation, comprehensive documentation, and a culture of shared accountability
- Lead the platform's HIPAA compliance efforts, architecting the controls for PHI access, deidentification, and audit readiness in partnership with Security
- LEAD AI-NATIVE ENGINEERING:
- Foster an AI-first engineering culture where tools like Claude Code serve as genuine force multipliers for refactoring and documenting infrastructure
- Establish the governance standards and safety guardrails required for the responsible application of AI within our engineering workflows
- Design the underlying context layer for our AI-powered analytics tools, ensuring generated insights are accurate and dependable by construction
- Signals of Success:
- Cross-functional teams in Product and Finance accelerate their velocity because the underlying data foundation is accurate, stable, and self-service
- Ambiguity regarding metric accuracy is eliminated through a unified context layer that synchronizes definitions across BI, experimentation, and AI platforms
- Platform priorities and roadmaps are communicated transparently, ensuring every stakeholder understands the strategic rationale behind capacity allocation
- Vital business reporting and financial pipelines operate with high resilience, free from single points of failure or reactive troubleshooting
- Your engineering team achieves greater technical depth and autonomy under your mentorship and leadership
Our take
Eating well can be a challenge, especially for people with care commitments or lower incomes. Unfortunately, not eating well can worsen various health problems, leading to increased medical costs in the long run.
To help with this, Foodsmart supplies meal kits tailored to each customer's nutritional needs and dietary preferences. With registered dieticians consulting and guiding subscriber meal plans, the company has smartly carved a science-first niche in the multi-billion dollar meal plan delivery service market.
With over 1 million users enrolled, Foodsmart has proven popular. It also boasts demonstrated results such as positive weight loss for obese subscribers, and lowered systolic blood pressure for those with hypertension. It continues to be popular with investors too, with its fundraises supporting the expansion of operations and its business reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
Top investors
19% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Jun 2024
$200m
GROWTH EQUITY VC
Jan 2024
$10m
SERIES C
Total funding: $309.9m
Company benefits
- Unlimited PTO
- Flexible working hours
- Flexible working location
- Paid health insurance
- 401k, bonus & stock options
Company HQ
Jackson Square, San Francisco, CA
Leadership
Jason Langheier
(Founder & Chief Science Officer)Board Director at Partnership for Healthier America. Co-Founder and former CTO at Proventys, and Chairman and Founder of Fitness Forward. MPH at Harvard in Epidemiology, Biostatistics and Decision Sciences.
Kurt Knight
(CEO)Joined the company as CEO in 2025. Previously spent almost 14 years at Amwell, ultimately as COO for 5 years.
Share this job
View 5 more jobs at Foodsmart