СШАVP, Data Engineering
13 ч. назад
350k–450k USD / годСШАC-levelOnsite
data engineeringdata modelingdata pipelinesanalyticsdashboardsdata ingestion
Lead data engineering to centralize and manage 's data architecture and pipelines.
Обязанности
- Data at feeds customer-facing reports, internal dashboards, and a lot of day-to-day decisions. Right now it lives in too many places and is owned by too many people. We’re hiring a VP of Data Engineering to own all of it: how data gets into our systems, how it’s stored and modeled, and how it shows up in the reports people use, inside the company and out.
- You’ll be the single owner of data at . You’ll manage our Senior Analytics Engineer to start, and you’ll build the team from there. Early on you’ll be hands-on. Over time, more of your time will go to hiring, setting direction, and working with the leadership team.
- Ingestion. Every source that feeds our data, including product databases, event tracking, and third-party tools. You decide how data comes in, how often, and what happens when a source changes or breaks.
- Warehouse and pipelines. Warehouse design, orchestration, and the infrastructure underneath, including its cost.
- Modeling. One set of core models and metric definitions that the whole company uses.
- Reporting. Internal dashboards and BI, plus the data behind customer-facing reports. If a number shows up somewhere at , it’s yours.
- Quality and governance. Testing, monitoring, access controls, and data privacy. You’re accountable when numbers are wrong, and you put fixes in place so the same problems don’t come back.
- Build and lead the data org, starting with our Senior Analytics Engineer. Decide which roles to hire and when, run the interviews, and develop the people you bring on.
- Set the data roadmap and explain the trade-offs to the leadership team and the rest of the company.
- Make the big technical calls on architecture, tooling, and build vs. buy.
- Work with Engineering, Product, Ops, and Customer teams to figure out what data they actually need, and say no when something isn’t worth building.
- Set the standards the team works by: modeling, testing, docs, monitoring, and on-call.
- Write SQL, review PRs, and build things yourself while the team is small.
- A year in, there’s no question about who owns data at . People trust the numbers and know where to find them. Sources are documented, pipelines break less often, and when they do, the team catches it before a customer does. Internal and customer-facing reports run off the same definitions. The team has grown, it has a clear structure and standards, and it’s planned out for the next stage.
Требования
- 10+ years in data engineering, analytics engineering, or similar, with 4+ years leading data teams.
- You’ve owned data end to end before, from ingestion through reporting, not just one layer of it.
- You’ve built a data function from an early or messy state, grown the team, and kept it running.
- Strong SQL and data modeling skills, and experience with Snowflake, dbt, Airflow, Dagster, or similar tools.
- You’ve hired well, including people senior to where the team started.
- You can sit in a leadership meeting, turn “we need better data” into a plan, and defend it.
- You’re comfortable being hands-on now and stepping back as the team grows.
Условия
- Equity — own a meaningful piece of the company you’re helping build
- Fully paid health coverage through Aetna — we cover 100% of employee premiums
- Top-tier dental and vision coverage through Guardian
- Carrot Fertility Pro — comprehensive fertility and family-forming support
- 12 weeks of paid parental leave
- Unlimited PTO — plus regular 4-day holiday weekends we actually take
- 401(k) through Vestwell
- Paid relocation support — we’ll help you make the move to NYC
- Fully equipped workspace from day one — laptop, monitor, keyboard, and a $200 stipend to personalize your setup
- Team perks — catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with
- provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Другое
- The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees.
- We're building the platform they run on, and a brand they'll be proud to be part of.
- is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number.
- We’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.
- If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.