Data Engineering Manager
AI Summary
Manages and develops the data engineering team at Confido, overseeing the Senior Analytics Engineer and hiring as the team grows. Makes key technical decisions on warehouse design, pipelines, and tooling while writing code and setting standards for modeling, testing, and monitoring.
About this role
Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance, accounting, sales, and operations, unified in one system for the first time.
We're growing 5x year over year with a small team in New York City; the people who join now will shape the product, the culture, and the company itself.
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 Data Engineering Manager to fix that and to build the team that keeps it fixed.
You'll manage our Senior Analytics Engineer to start, and you'll hire as the team grows. For the first stretch you'll write a good amount of code yourself. Later, more of your time will go to hiring, planning, and working with other teams.
What You'll Do
Manage and develop the data team, starting with our Senior Analytics Engineer.
Decide what the team works on and in what order, and explain those calls to the rest of the company.
Make the big technical decisions on warehouse design, pipelines, orchestration, and tooling.
Hire data engineers as we grow. You'll write the job descriptions, run the interviews, and onboard new hires.
Set standards for modeling, testing, docs, monitoring, and on-call.
Work with Engineering, Product, Ops, and Customer teams to agree on metric definitions and figure out what data they actually need.
Be accountable when numbers are wrong or pipelines break, and put fixes in place so the same problems don't come back.
Write SQL, build models, and review PRs, especially early on.
What We're Looking For
7+ years in data or analytics engineering, with at least 2 years managing engineers.
You've built a data warehouse from an early or messy state before, and you've kept it running afterward.
Strong SQL and data modeling skills. You've built and maintained ETL/ELT pipelines in production.
Experience with Snowflake, dbt, Airflow, Dagster, or similar tools.
You've hired engineers and helped them get better at their jobs.
You can take a vague request like "we need better reporting," figure out what's really needed, and turn it into a plan.
You're happy splitting your time between managing and building.
Success in This Role
A year in, people across Confido trust the data and know where to find it. There's one set of core models the whole company uses, pipelines break less often, and when they do break, someone notices before a customer does. The team is bigger than one person, and it has clear standards that new hires can pick up quickly.
🌴 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.
Skills
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