Senior Data Engineering Lead

Dentsu Aegis Network

Georgia, USA
$94,000 - $152,662; not specified; medical, vision...
On-site (3 days per week in the office for those within commutable distance)
Snowflake-native platform development
Snowpark for python
Snowflake tasks and streams
Dentsu Aegis Network is seeking a Senior Data Engineering Lead to oversee the development of a cloud-native B2B data platform, requiring deep Snowflake expertise and strong coding skills in Python and SQL. The role emphasizes technical ownership, hands-on coding, and collaboration with product teams, fostering an AI-first engineering culture

Job Summary

  • You will be stepping into ownership of a new platform initiative and taking the technical lead on where it goes from here, shaping architecture decisions, engineering standards, and the future roadmap.
  • This is not a role that transitions you into management; contributing code is a core expectation of the job, with hands-on keyboard work every day writing production code, debugging, and troubleshooting.
  • The platform is Snowflake-native, and we use the best of what Snowflake offers, with an AI-First engineering team using Claude, GitHub Copilot, and Cortex Code as standard tools.

Matching Summary

Match Score: 85

Dentsu Aegis Network is seeking a Senior Data Engineering Lead to oversee the development of a cloud-native B2B data platform, requiring deep Snowflake expertise and strong coding skills in Python and SQL. The role emphasizes technical ownership, hands-on coding, and collaboration with product teams, fostering an AI-first engineering culture.

Salary

$94,000 - $152,662; Not specified; 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, and Paid parental leave.

Skills & Requirements

Must-have

  • Snowflake-native platform development
  • Snowpark for Python
  • Snowflake Tasks and Streams
  • AI coding tools (Claude, GitHub Copilot)
  • Production code writing and debugging
  • Layered data architecture design
  • CI/CD pipelines and Git workflows

Nice-to-have

  • AI-first practices across a team
  • B2B data concepts
  • Third-party B2B data providers
  • Experience with distributed teams
  • Data privacy and governance

Key Requirements

  • 5+ years of active data engineering experience
  • Strong Python and SQL skills
  • Experience with AI coding tools
  • Hands-on experience with CI/CD and Git

Work Rights

Not specified

Tailored Resume

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