Forbes

Data Engineering Manager

Forbes

full-time

Posted on:

Location Type: Remote

Location: India

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Job Level

SeniorLead

Tech Stack

AirflowBigQueryGoogle Cloud PlatformPythonSQL

About the role

  • Lead a team of engineers responsible for the design, delivery, and reliability of our data platform
  • Guide a squad of 10–15 engineers in building scalable, observable, and well-modeled data systems
  • Drive design and best practices, mentor engineers, and partner with Program Management
  • Collaborate across Analytics, RevOps, Data Ops, and Product to turn business problems into engineering solutions
  • Contribute to architectural reviews and solution design in collaboration with the Director of Data Engineering
  • Ensure scalable, modular pipeline design and adherence to strong data modeling principles
  • Oversee implementation and optimisation of workflows in GCP
  • Translate stakeholder requirements into robust technical designs that align with marketing, analytics, and revenue goals

Requirements

  • 10+ years of total experience in data or software engineering, including 2+ years leading teams
  • Deep expertise in SQL, Python, and modern ELT tools (dbt, Airflow/Composer)
  • Strong understanding of data modeling, orchestration, and optimisation in GCP (BigQuery, GCS, Pub/Sub)
  • Demonstrated experience building or scaling data pipelines for marketing, attribution, or monetisation
  • Proven ability to lead delivery within agile sprints and coordinate with cross-functional stakeholders
  • Excellent communication, prioritisation, and leadership skills in distributed teams
Benefits
  • Monthly long weekends
  • Wellness stipend
  • Generous parental leave
  • Remote-first, collaborative culture
  • Flexible working hours
  • Opportunity to shape the engineering foundations of a world-class data organisation
  • Exposure to complex, high-impact problems across marketing, revenue, and product
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythondata modelingorchestrationoptimisationdata pipelinesagile methodologiesELT toolsdbtAirflow
Soft Skills
leadershipcommunicationprioritisationmentoringcollaborationproblem-solvingteam managementstakeholder engagementcross-functional coordinationdesign thinking