Lead Data Engineer

We are 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

We’re 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. You’ll manage a small team of ICs responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You’ll 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 you’ll 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 Salary: 3000000 - 4000000 INR Per annum