Lead Data Engineer

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

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Originally posted on Himalayas