B2b Data Engineering Lead

Merkle

Georgia, US
Base: $94,000 - $121,000; bonus/equity: not specif...
Fully remote
Design and maintain data pipelines
Connect professional b2b contacts with consumer identities
Lead and mentor a distributed engineering team
Merkle is seeking a B2B Data Engineering Lead to design and scale data solutions for its B2B Identity platform. The role emphasizes collaboration, technical leadership, and the integration of AI to enhance data engineering processes

Job Summary

  • As the Data Engineering Lead for B2B Data Products, you will help design, build, and scale data solutions that extend the capabilities of our B2B Identity platform.
  • You will partner with product leaders to translate product strategy into technical workstreams and delivery plans, and work with identity leadership to understand platform services.
  • The annual salary range for this position is $94,000 - $121,000, with benefits including Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, and more.

Matching Summary

Match Score: 85

Merkle is seeking a B2B Data Engineering Lead to design and scale data solutions for its B2B Identity platform. The role emphasizes collaboration, technical leadership, and the integration of AI to enhance data engineering processes.

Salary

Base: $94,000 - $121,000; 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
  • Connect professional B2B contacts with consumer identities
  • Lead and mentor a distributed engineering team
  • Use AI to support engineering tasks
  • Proficiency with Python, SQL, Snowflake

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

Key Requirements

  • 8+ years of experience in data engineering
  • 5+ years working with B2B identity data
  • Experience delivering B2B data products
  • Ability to integrate with existing identity systems
  • Strong communication skills
  • Experience working with offshore engineering partners

Work Rights

Not specified

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