Lead Data Engineer
- Uplers
- 6 - 9 years
- Mumbai
- 2 days ago
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Job Description
Experience: 6.00 + years
Salary: Confidential (based on experience)
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full time Permanent Position
(*Note: This is a requirement for one of Uplers' client - Forbes Advisor)
What do you need for this opportunity?
Must have skills required:
SQL, dbt, Google Cloud
Forbes Advisor is Looking for:
Job Title: Lead Data Engineer
Company: Forbes Advisor
Forbes Advisor is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, careers, and everyday life. We do this by combining data-driven content, rigorous product comparisons, and user-first design all built on top of a modern, scalable platform. Our teams operate globally and bring deep expertise across journalism, product, performance marketing, and analytics.
The Role
Were hiring a Data Engineering Lead to help scale and guide a growing team of data engineers. This role is ideal for someone who enjoys solving technical challenges hands-on while also shaping engineering best practices, coaching others, and helping cross-functional teams deliver data products with clarity and speed.
Youll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. Youll be expected to drive engineering excellence from code quality to deployment hygiene and play a key role in sprint planning, architectural discussions, and stakeholder collaboration. This is a critical leadership role as our data organization expands to meet growing demand across media performance, optimization, customer insights, and advanced analytics.
What youll do:
- 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
What You Bring:
- 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.
Nice to have:
- Experience leading data engineering teams in digital media or performance marketing environments
- Familiarity with data from Google Ads, Meta, TikTok, Taboola, Outbrain, and Google Analytics (GA4)
- Exposure to BI tools like Tableau or Looker
- Experience collaborating with data scientists on ML workflows and experimentation platforms
- Knowledge of data contracts, schema versioning, or platform ownership patterns
Why Join Us:
- Monthly long weekends every third Friday off
- Wellness reimbursement to support your health and balance
- Paid parental leave
- Remote-first culture with flexibility and trust
- Leadership role in a fast-growing global data team inside a globally recognized brand
How to apply for this opportunity?
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
Job Classification
Industry: FinTech / PaymentsFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Mumbai
Keyskills: DBT GCP Data Build Tool Google Cloud Platforms SQL
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