Data Engineering Lead

Patlytics, Inc.•New York, NY

3d•Hybrid

About The Position

As the Data Engineering Lead, you'll own our data warehouse and everything around it — the pipelines that feed it, the models built on top of it, the metering our billing depends on, and the reporting the company makes decisions from. This role is heavy on backend and infrastructure, specialized in data. It's hands-on and it's a lead role, and both halves are real. You'll be writing production code and setting the architecture, and you'll grow into leading the team we build behind it. If you want to own a layer of the company outright rather than pick up tickets on someone else's roadmap, this is that job.

Requirements

Proven experience building and operating a production data warehouse and transformation layer: Snowflake, dbt, Redshift, or comparable stacks
Hands-on experience with BI and visualization tooling, including the data models that sit beneath it and the metric definitions the business relies on
Prior experience supporting a billing system, with a clear understanding of the downstream impact when billing data is inaccurate
Strong production experience in Python, alongside advanced SQL. This is a hands-on engineering role
A track record of carrying problems from ambiguity through to resolution, and the appetite for the scope this role carries
Interest in leading through technical direction and influence rather than headcount
A product mindset — you think about how data will be used, and partner with product and business stakeholders to define the right questions before building the answers

Nice To Haves

Front-end experience for building internal tools and reporting interfaces

Responsibilities

Own the design, build, and operation of our data warehouse and transformation layer, from schema design through performance and cost
Build the ingestion pipelines that feed it, and own their reliability
Design and own the data models behind usage metering and billing
Stand up and maintain BI and reporting so leadership, product and GTM can answer their own questions instead of filing a ticket and waiting
Set the standards for data quality, testing, documentation, and monitoring, and hold the bar on them as the surface area grows
Work directly with CTO on what we instrument and why, and turn vague business questions into models that actually answer them

Benefits

Comprehensive health coverage: Medical, dental, vision, plus FSA, commuter benefits, and health advocacy through Rightway
Mental health and wellness support: Access to Spring Health and Headspace, plus "Mental Escape Days" to recharge when you need it
Immediate 401(k) enrollment with no waiting period to start saving for your future
Generous time off: Unlimited PTO, 12 paid company holidays, plus a full week off during our Holiday Break
Paid parental leave
Professional development budget
Gym membership stipend
Learning opportunities
Birthday and work anniversary recognition
Generous employee referral bonuses