Data Engineering Lead (snowflake And Python)

Dentsu B2B APAC

Georgia, USA
Base: $94,000 - $152,662; bonus/equity: not specif...
Fully remote
Design and maintain data pipelines
Implement professional-to-consumer linkage logic
Build scalable, observable, high-quality workflows
Dentsu B2B APAC is seeking a Data Engineering Lead to design and scale data solutions for their B2B Identity platform, focusing on high-quality data integration and engineering excellence. The ideal candidate will have extensive experience in data engineering, particularly with B2B identity data, and will lead a distributed team while leveraging AI to enhance productivity

Job Summary

  • Partner with product leaders to translate product strategy into technical workstreams and delivery plans, and work with identity leadership to understand platform services, data structures, APIs, and matching logic.
  • Design and maintain data pipelines that process firmographic, professional, and consumer-level data attributes, and implement logic that connects professional B2B contacts with consumer identities.
  • Lead and mentor a distributed engineering team, including offshore team members, with clarity, structure, and support, while promoting consistent standards in coding, testing, deployment, and observability.

Matching Summary

Match Score: 85

Dentsu B2B APAC is seeking a Data Engineering Lead to design and scale data solutions for their B2B Identity platform, focusing on high-quality data integration and engineering excellence. The ideal candidate will have extensive experience in data engineering, particularly with B2B identity data, and will lead a distributed team while leveraging AI to enhance productivity.

Salary

Base: $94,000 - $152,662; Bonus/Equity: Not specified; Benefits: Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, At least 15 paid holidays per year, Paid sick and safe leave, Paid parental leave

Skills & Requirements

Must-have

  • design and maintain data pipelines
  • implement professional-to-consumer linkage logic
  • build scalable, observable, high-quality workflows
  • Python, SQL, Snowflake, cloud storage, CI/CD
  • lead and mentor distributed engineering team
  • use AI for engineering tasks

Nice-to-have

  • experience with third-party B2B data providers
  • familiarity with consumer identity systems
  • understanding of privacy, consent, and data governance
  • experience applying AI throughout SDLC
  • experience with observability platforms

Key Requirements

  • 8+ years of experience in data engineering
  • 5+ years working with B2B identity data
  • experience leading teams or technical programs
  • experience delivering B2B data products
  • strong communication skills
  • experience working with offshore engineering partners

Work Rights

Not specified

Tailored Resume

Cover Letter