Data Engineering Lead

Patlytics; New York (NY); Hybrid; USD 160,000 - 210,000; Full time

Benefits offered by this job

Health coverage

401(k) enrollment

Unlimited PTO

Parental leave

Professional development budget

Job summary

Patlytics, an AI-native patent intelligence platform, is seeking a Data Engineering Lead in New York City to own the data warehouse, pipelines, models, and reporting that guide business decisions. The role is heavy on backend and infrastructure, requiring hands-on coding and eventual team leadership.

You will architect and scale data pipelines, ensure data quality, and partner with product and GTM to define analytical needs.

Qualifications

• 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 data models beneath it and metric definitions the business relies on.
• Prior experience supporting a billing system, with understanding of downstream impact when billing data is inaccurate.
• Strong production experience in Python and SQL; hands-on engineering role.

Responsibilities

• Own the design, build, and operation of the data warehouse and transformation layer, from schema design through performance and cost.
• Build ingestion pipelines and own their reliability.
• Design and own data models behind usage metering and billing.
• Stand up and maintain BI and reporting for leadership and GTM to answer questions without tickets.
• Set data quality, testing, documentation, and monitoring standards as surface area grows.
• Collaborate with CTO on instrumentation and turning business questions into actionable models.

Skills

Python

SQL

Data modeling

Leadership

Tools

Snowflake

dbt

Redshift

Job description

Data Engineering Lead

About Patlytics:Patlytics is the fastest-growing AI-native patent intelligence platform, transforming how IP is protected and monetized at scale. Our advanced LLMs and generative AI engine—custom-built for intellectual property—power every phase of the patent workflow from invention disclosure through litigation, delivering citation-backed insights with unprecedented accuracy and speed. Fresh off our $40M Series B — led by SignalFire, with participation from N47, Myriad Venture Partners, Liquid 2 Ventures, BAM Corner Point, Alumni Ventures, Antiportfolio Ventures and Relativity- allows us to triple down on the product, accelerate growth globally, hire future mission-aligned colleagues, and to continue redefining what is possible for our customers. — we're scaling fast across product, engineering, and go-to-market. If you want to build at the inflection point, this is it. With teams across the globe we're building a global company fueled by exceptional talent and bold ideas. Our rapid expansion is driven by people who bring entrepreneurial energy, intellectual curiosity, and a shared commitment to setting the global standard for AI-powered IP intelligence. We're creating a culture where diverse perspectives shape breakthrough innovation and every voice contributes to transforming how the world protects ideas. We hire for trajectory, not just credentials. If you're 70% of this list and hungry to close the gap, apply.

The Role:

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. As the Data Engineering Lead, you’ll:

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

About you:

Proven experience building and operating a production data warehouse and transformation layer: Snowflake, dbt, Redshift, or comparable stacksHands-on experience with BI and visualization tooling, including the data models that sit beneath it and the metric definitions the business relies onPrior experience supporting a billing system, with a clear understanding of the downstream impact when billing data is inaccurateStrong production experience in Python, alongside advanced SQL. This is a hands-on engineering roleA track record of carrying problems from ambiguity through to resolution, and the appetite for the scope this role carriesInterest in leading through technical direction and influence rather than headcountA 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

Bonus:

Front-end experience for building internal tools and reporting interfaces

Why Patlytics

The opportunity to work at the intersection of AI and law, shaping how the world's most important IP decisions get madeOpportunity to join a rocket ship in the earliest stages of global scale-upGlobal exposure: deal with the world's top law firms, tech giants, and innovation-driven corporationsNo bureaucracy. No ceiling. Just impact, ownership, and velocity.

We offer:

• 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
• Family-first policies: Paid parental leave to support you during life's biggest moments
• Invest in yourself: Professional development budget, gym membership stipend, and learning opportunities
• Celebrate what matters: Birthday and work anniversary recognition, plus generous employee referral bonuses
• Hybrid work environment (New York City), while staying connected with a passionate and talented team