Forbes

Lead Data Engineer

Forbes

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

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Job Level

Senior

Tech Stack

AirflowBigQueryETLGoogle Cloud PlatformKafkaPythonSparkSQL

About the role

  • Lead and grow a team of data engineers working across ETL/ELT, data warehousing, and ML-enablement
  • Own team delivery across sprints, including planning, prioritization, QA, and stakeholder communication
  • Set and enforce strong engineering practices around code reviews, testing, observability, and documentation
  • Collaborate cross-functionally with Analytics, BI, Revenue Operations, and business stakeholders in Marketing and Sales
  • Guide technical architecture decisions for our pipelines on GCP (BigQuery, GCS, Composer)
  • Model and transform data using dbt and SQL, supporting reporting, attribution, and optimization needs
  • Ensure data security, compliance, and scalability — especially around first-party customer data
  • Mentor junior engineers through code reviews, pairing, and technical roadmap discussions

Requirements

  • 6+ years of experience in data engineering, including 2+ years of people management or formal team leadership
  • Strong technical background with Python, Spark, Kafka, and orchestration tools like Airflow
  • Deep experience working in GCP, especially BigQuery, GCS, and Composer
  • Strong SQL skills and familiarity with DBT for modeling and documentation
  • Clear understanding of data privacy and governance, including how to safely manage and segment first-party data
  • Experience working in agile environments, including sprint planning and ticket scoping
  • Excellent communication skills and proven ability to work cross-functionally across global teams.
Benefits
  • Day off on the 3rd Friday of every month (one long weekend each month)
  • Monthly Wellness Reimbursement Program to promote health well-being
  • Monthly Office Commutation Reimbursement Program
  • Paid paternity and maternity leaves

Applicant Tracking System Keywords

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

Hard skills
data engineeringETLELTdata warehousingmachine learningPythonSparkKafkaSQLdbt
Soft skills
team leadershipstakeholder communicationmentoringcollaborationplanningprioritizationquality assurancetechnical roadmap discussionsagile methodologiescross-functional teamwork