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VP, Data Engineering

Reads like a Data Leadership role: running a data team.

NYC Office · New York, United States

Actively hiring, first seen by us today
Pay
Pay not listedSimilar roles state $154K–$225K
Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Product & Technology › Data — team source
Department: Product & Technology › Data
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you require visa sponsorship to work legally in the United States (now or in the future)? This includes needing sponsorship for CPT, OPT or other visa types to work in the US.
From the employer’s application form

What you’ll work on

Full posting
  • Own data ingestion from product databases, event tracking, and third-party tools

  • Design the warehouse, orchestration, and pipeline infrastructure and its cost

  • Set one core set of data models and metric definitions for the whole company

  • Hire, develop, and lead the data team, starting with the Senior Analytics Engineer

  • Own internal dashboards and the data behind customer-facing reports

From the employer’s posting
Every source that feeds our data, including product databases, event tracking, and third-party tools.
Warehouse design, orchestration, and the infrastructure underneath, including its cost.
One set of core models and metric definitions that the whole company uses.
Build and lead the data org, starting with our Senior Analytics Engineer.
Internal dashboards and BI, plus the data behind customer-facing reports.

What you’ll bring

All qualifications

Core experience

  • 10+ years in data engineering, analytics engineering, or similar
  • 4+ years leading data teams
  • Has owned data end to end, from ingestion through reporting
  • Strong SQL and data modeling skills
  • Experience with Snowflake, dbt, Airflow, Dagster, or similar tools
Qualification wording
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.
Strong SQL and data modeling skills
experience with Snowflake, dbt, Airflow, Dagster, or similar tools
Apply at Confido

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 53.

From 7,797 similar postings that came down. Coming down is not always a hire.

Confido is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • dbt
  • Snowflake
  • Airflow
  • Dagster
Where the posting names them
- 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. What We’re Looking For
- 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.

Your next step

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Job description

View original posting ↗

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.

Confido 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.

THE ROLE

Data at Confido 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 Confido. 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.


What You’ll Own

  • 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 Confido, 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.


What You’ll Do

  • 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.


What We’re Looking For

  • 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.

Success in This Role

A year in, there’s no question about who owns data at Confido. 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.

🌴 Perks + Benefits

  • 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

Confido 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.

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New York, United States

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