Demo

Data Engineering Lead

Adelaide
New York, NY Full Time
POSTED ON 1/21/2025 CLOSED ON 2/5/2025

What are the responsibilities and job description for the Data Engineering Lead position at Adelaide?

TL;DR

Fast-growing measurement company looking for a Data Engineering Lead with 5 years of experience to drive our data infrastructure and engineering initiatives. Get in touch with perry@adelaidemetrics.com if you are a good fit or know one.

Who we are

Adelaide is the leader in one of the fastest-growing areas of digital advertising: attention metrics.

Since 2020, we’ve been a trusted measurement partner for 40% of Fortune 50 companies. They rely on our metric, AU, to maximize the effectiveness of media spend. AU is “the attention economy's most widely recognized metric,” according to Adweek, and we swept the measurement category in the 2024 Adexchanger awards.

Our business is growing rapidly—we’ve doubled revenue in just 18 months and grew our team by 45% last year. Earlier this year, in partnership with The New York Times, we launched Adelaide for Publishers, the next step in our vision to create a more fair and equitable marketplace for media.

Adelaide is backed by prominent investors such as Human Ventures (Joe Marchese), Aperiam Ventures (Joe Zawadzki & Eric Franchi), WGI (Jonah Goodhart), and Irwin Gotlieb.

While we have an office in NYC, we’re very remote-friendly and support flexible work arrangements.

How we operate

We are a team of action-oriented doers; management rolls up their sleeves to contribute daily. Our culture is rooted in curiosity and loosely held but rigorously vetted opinions; everyone is encouraged to contribute to planning and strategy.

Position Overview

This position reports to the VP of Product & Engineering; it is responsible for leading the data engineering team, scaling data infrastructure, and optimizing data pipelines to support Adelaide's mission of increasing media quality transparency and aligning market incentives around quality over quantity.

In this role, you will be joining a collaborative and innovative team dedicated to building scalable data solutions. You’ll be responsible for leading technical initiatives, optimizing data infrastructure, and ensuring high performance, availability, and security of the data platform. This role requires a combination of strategic vision and hands-on technical involvement. Day-to-day activities range from coding and problem-solving to mentoring team members and collaborating with cross-functional teams to align data goals with business objectives.

This is a fully remote position within the United States, but you should expect to travel a couple of times a year to our New York office.

What you'll learn

An important part of our culture is continuing education and the sharing of ideas. We offer:

  • A large network of investors and advisors for you to access that will help your team succeed
  • Mentorship from executives with decades of experience in adtech and media
  • Regular internal knowledge-sharing sessions
  • Education budget to accelerate your team’s development

Specifically, In This Role, You Will Learn

  • Deep knowledge of Adelaide’s data strategy and business goals
  • Advanced techniques in AWS cloud services and scalable data architecture
  • Effective leadership in cross-functional collaboration with Product Management, Engineering, and Data Science teams
  • Innovative approaches to optimizing data infrastructure for performance and security
  • Best practices in data pipeline development and real-time data processing

Core Responsibilities

  • Lead the data engineering team in designing, developing, maintaining, and optimizing the data platform
  • Drive technical excellence by remaining hands-on with coding and problem-solving, setting engineering best practices
  • Define and implement strategies to enhance data infrastructure performance, availability, and security
  • Develop and execute a comprehensive data strategy aligned with the company’s objectives
  • Build cross-functional relationships with Data Science, Product Management, and Engineering to understand data needs and deliver on business goals
  • Provide technical guidance and mentorship to foster a culture of continuous learning and professional growth
  • Stay up-to-date with industry trends and technological advancements to continuously improve team efficiency

Desired Skills

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Expertise in Python, SQL, PostgreSQL, and Scala
  • Experience with AWS services, including S3, Glue, Athena, Redshift, Lambda, ECS, Kinesis, and EMR
  • Strong understanding of ETL processes and data pipeline architecture
  • Proficiency in Apache Spark and Airflow
  • Excellent operational and strategic vision to drive efficiency and scalability
  • Ability to collaborate effectively with cross-functional teams and senior stakeholders
  • Ad tech industry experience is a plus but not required

Benefits

Health & Wellness

  • Medical, dental, and vision insurance
  • Paid time off
  • Parental leave
  • Wellness & Development Stipend
  • Holiday break
  • Volunteer time off

Financial & Compensation

  • Competitive salary
  • Stock options
  • 401k Retirement Plan

Workplace & Equipment

  • Remote-first environment
  • New York office
  • Access to WeWork spaces available

Equal Employment Opportunity (EEO) Statement

Adelaide is proud to be an Equal Opportunity Employer, committed to fostering a diverse, equitable, and inclusive workplace where all employees can thrive. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.

Our commitment to equal opportunity employment extends beyond basic compliance to encompass the active cultivation of a workplace that values different perspectives, backgrounds, and experiences.

The Pay Range For This Role Is

160,000 - 210,000 USD per year(United States)

Salary : $160,000 - $210,000

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