Director, Data Engineering

CLEAR · New York City, NY

Company

CLEAR

Location

New York City, NY

Type

Full Time

Job Description

As the Director of our Data Engineering team, you will be responsible for building our Data Engineering team and practice under the Data Platform organization. The Data Engineering team is responsible for the design, architecture, development, and implementation of a modern data stack. The Engineering Director will build and manage a high-performance team of Data Engineers and will foster a data-driven culture across the organization. You will work across Engineering, Product, Business Intelligence, and other business units to ensure the platform meets the needs of current and future products.

What you'll do:

  • Build and manage a team of high performing Data Engineers
  • Partner closely with Analytics Engineering, Business Intelligence, and Software Engineering leaders to enable data functionality across CLEAR
  • Own the roadmap for the Data Platform, defining requirements, priority, and driving programs to completion
  • Drive the migration to a modern data stack in which Analysts and Engineers can self-service changes in an automated, tested, and high-quality manner
  • Build data governance solutions into every part of the platform
  • Evangelize data and its use across CLEAR to make our decisions and products more intelligent
  • Define a vision for ML and AI use cases

How you'll measure success:

  • The implementation of a new, modern data stack
  • Users across Technology and Analytics self-servicing data needs
  • Data freshness and quality

What you're great at:

  • Experienced people manager with a track record of building high performing Data Engineering teams
  • Experience managing managers as well as senior Engineers
  • Experience with a modern datastack, using tools such as dbt, Dagster, Airflow, Snowflake, et cetera
  • Excellent communication skills, able to explain technical topics to non-technical audiences, manages up, down, and across
  • Deep experience working with Business Intelligence, Analytics, Data Science, and Software Engineering Teams
  • Have worked with or built a data governance program
  • Experience with MLOps
  • Experience working with Product Analytics platform

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. The base salary range for this role is $235,000 - $265,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units

About CLEAR

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 15+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.


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Date Posted

03/11/2023

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