Lead Data Engineer (Full-time at a global IT services MNC)

The Role

Data Engineering

You will manage a small team of individual contributors responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You will be expected to drive engineering excellence from code quality to deployment hygiene while playing a key role in sprint planning, architectural discussions, and stakeholder collaboration.

This is a critical leadership role as our data organization expands to meet increasing demand across media performance, optimization, customer insights, and advanced analytics.

Role Type:

What You'll Do

• Data engineers working across ETL/ELT, data warehousing, and ML enablement.
• 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 to support reporting, attribution, and optimization needs.
• Ensure data security, compliance, and scalability particularly around first-party customer data.
• Hands-on technical role with no team management.

What You Bring

• 4+ years of experience in data engineering.
• Strong technical background with Python, Spark, Kafka, and orchestration tools such as Airflow.
• Deep experience working in GCP, particularly BigQuery, GCS, and Composer.
• Strong SQL skills with familiarity in dbt for modeling and documentation.
• Solid understanding of data privacy and governance, including safe management and segmentation of first-party data.
• Experience in agile environments, including sprint planning and ticket scoping.
• Excellent communication skills with 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 such as Tableau or Looker.
• Experience collaborating with data scientists on ML workflows and experimentation platforms.
• Knowledge of data contracts, schema versioning, or platform ownership patterns.

JD 2

Lead Data Engineer

Exp: 6+ years

Loc: Remote ( For Chennai Candidates it will be Work From Office- Hybrid)

NP: 30 Days or Serving max upto 45 days

GCP - 4 yr , DBT- 3 Yr , ETL/ELT, data warehousing- 2 Yr ,Python-2 Yr, Spark- 2 Yr

The Role

Data Engineering Lead

You will manage a small team of individual contributors responsible for building and maintaining pipelines that support reporting, analytics, and machine learning use cases. You will be expected to drive engineering excellence from code quality to deployment hygiene while playing a key role in sprint planning, architectural discussions, and stakeholder collaboration.

This is a critical leadership role as our data organization expands to meet increasing 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 to support reporting, attribution, and optimization needs.
• Ensure data security, compliance, and scalability particularly 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 in people management or formal team leadership.
• Strong technical background with Python, Spark, Kafka, and orchestration tools such as Airflow.
• Deep experience working in GCP, particularly BigQuery, GCS, and Composer.
• Strong SQL skills with familiarity in dbt for modeling and documentation.
• Solid understanding of data privacy and governance, including safe management and segmentation of first-party data.
• Experience in agile environments, including sprint planning and ticket scoping.
• Excellent communication skills with 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 such as Tableau or Looker.
• Experience collaborating with data scientists on ML workflows and experimentation platforms.
• Knowledge of data contracts, schema versioning, or platform ownership patterns.