Forbes

Compliance & Data Research Lead

Forbes

full-time

Posted on:

Location Type: Remote

Location: India

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Job Level

Senior

Tech Stack

AirflowBigQueryCloudGoogle Cloud PlatformMicroservicesPythonSQL

About the role

  • You’ll lead a team of engineers responsible for the design, delivery, and reliability of our data platform
  • Guide a squad of 10–15 engineers (3–4 direct reports) in building scalable, observable, and well-modeled data systems
  • Drive design and best practices, mentor engineers, and partner with Program Management to ensure predictable, high-quality releases
  • Collaborate across Analytics, RevOps, Data Ops, and Product to turn business problems into performant, future-ready engineering solutions
  • Ensure scalable, modular pipeline design and adherence to strong data modeling principles in dbt and BigQuery
  • Oversee implementation and optimisation of workflows in GCP (BigQuery, Cloud Composer, Cloud Functions, Vertex AI etc.)
  • Communicate progress, risks, and dependencies clearly to technical and non-technical partners

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
  • Nice to Have: Experience transitioning large-scale architectures to microservices or event-driven designs
  • Familiarity with CI/CD pipelines, observability frameworks, and cost optimisation in cloud environments
  • Exposure to machine-learning pipelines, model serving, or real-time scoring
  • Background working with marketing or product analytics data sources (Google Ads, Meta, GA4, Taboola, etc.)
Benefits
  • Remote-first, collaborative culture with 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
  • Monthly long weekends, wellness stipend, and generous parental leave
  • Work with global leaders in data, marketing, and engineering — building systems that drive real business growth
Applicant Tracking System Keywords

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

Hard Skills & Tools
SQLPythondbtAirflowBigQueryGCPdata modelingdata orchestrationdata optimisationdata pipelines
Soft Skills
leadershipcommunicationprioritisationmentoringcollaborationproblem-solvingagile deliverycoordinationclear communicationteam management