Advantage
LeadDataEngineer
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“Lead Data Engineer at Advantage. Skills: Data Engineering, AWS, Snowflake, Python, SQL, Technical Leadership. Design, build, and maintain scalable data pipelines on AWS. Support the architecture and operation of our Snowflake environment”
What They're Looking For.
Must Have
6–8 years of hands‑on experience in data engineering, building and maintaining production‑grade data pipelines and cloud‑native data systems, experience with AWS data services and cloud‑native data engineering patterns, Proficiency in Python and SQL for building and maintaining data workflows, Experience with Snowflake, including data modeling, performance optimization, and environment management, Experience building or integrating APIs within data ecosystems, Ability to lead projects, mentor engineers, and influence technical direction, communication skills and the ability to work with non‑technical stakeholders, Comfort working directly with senior engineering leadership, including the VP of Engineering, on solution design and platform evolution
What You'll Do.
and maintain scalable data pipelines on AWS
Support the architecture and operation of our Snowflake environment
Develop SQL and Python workflows
and integrate APIs for ingestion and external system connectivity
Contribute to the design of evolving data models that power analytics
and downstream applications
Champion data quality
and best practices in version control
Lead technical projects from concept through delivery
ensuring high‑quality execution and alignment with engineering standards
Mentor junior and mid‑level engineers through code reviews
and hands‑on guidance
Partner closely with the VP of Engineering on architectural decisions
engineering priorities
and long‑term platform strategy
Collaborate with cross‑functional stakeholders to translate business requirements into clear
actionable engineering solutions
How You'll Work.
Team & Collaboration
collaborate with cross‑functional partners; work with non‑technical stakeholders; work closely with the VP of Engineering; collaborate with cross‑functional stakeholders
Communication Scope
communication skills; ability to work with non‑technical stakeholders
Process & Methodology
Lead technical projects from concept through delivery
Full Job Description
**Lead Data Engineer** _This role is to be based near our offices in New York City or West Los Angeles._ **About us:** We drive intelligent growth for ambitious businesses and leading brands. Customer understanding is more potent and drives greater value when insights go to work directly within marketing and experience priorities. To give our clients that advantage, we put an insights-driven operating system at the core of our design, go-to-market and digital experience solutions. Material clients make smarter growth choices because they can see clearly how and when to take the shots that count. Together, we connect consumer intelligence with customer demand generation to build lasting, profitable relationships. **About the Lead Data Engineer:** We are looking for **a Lead Data Engineer** to help build and scale our core data infrastructure. This is a hands‑on technical leadership role for someone who can drive high‑quality engineering execution, contribute to architectural decisions, and support the development of junior team members. In this role, you’ll lead complex data engineering initiatives, design solutions end‑to‑end, and work closely with the VP of Engineering to align technical execution with broader platform strategy. You’ll take ownership of key data engineering projects, guide technical decision‑making, and collaborate with cross‑functional partners to translate business needs into well‑designed, scalable solutions. You’ll balance hands‑on development with leadership responsibilities, ensuring both high‑quality delivery and strong engineering practices across the team. This role is ideal for an engineer who enjoys hands‑on development, technical leadership, and shaping solutions. **In this role, you will:** * Design, build, and maintain scalable data pipelines on AWS using services such as Step Functions, S3, Lambda, EMR, ECS, Athena, and SNS * Support the architecture and operation of our Snowflake environment, including data modeling, performance tun
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