Data Engineer Lead

2 days ago

Pune, Maharashtra, India Mappy Global Resources Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Greetings for the Day

Scouting for a Director, Data Engineering Lead to be associated with a Global Digital Media Agency.

Location: Pune

Shift: EMEA

Role & responsibilities

Director, Data Engineering Lead, you will drive the architecture, design, and implementation of enterprise-scale data platforms and pipelines. You will lead a high-performing team of data engineers to deliver data lakes, warehouses, marts, and advanced analytics systems. This role requires a strong blend of hands-on technical expertise, leadership, and stakeholder management to ensure delivery of high-quality, secure, and scalable data solutions.

Leadership & Team Management

  • Lead, mentor, and grow a team of data engineers and architects.
  • Foster a high-performance culture focused on innovation, collaboration, and delivery excellence.
  • Drive career development, coaching, and upskilling of team members.

Data Engineering & Architecture

  • Architect and implement data lakes, data warehouses, and marts on modern cloud platforms.
  • Lead design of scalable data pipelines, real-time and batch processing solutions.
  • Oversee data governance, quality, lineage, and compliance.
  • Ensure integration of structured, semi-structured, and unstructured data sources.

Cloud & Tools

  • Leverage cloud technologies: AWS, Azure, or GCP.
  • Work with modern platforms: Snowflake, Redshift, BigQuery, Databricks.
  • Implement orchestration frameworks (Airflow, Luigi, etc.) and optimize performance.
  • Support CI/CD adoption for data pipelines and infrastructure automation.

Stakeholder & Cross-Functional Collaboration

  • Partner with Product, Business, and Analytics teams to align data strategies with business goals.
  • Manage global stakeholder expectations with clear communication.
  • Ensure data solutions are aligned with enterprise architecture and compliance standards.

Preferred candidate profile

  • Experience: 12+ years in data engineering with at least 5 years in a leadership role.
  • Education: Bachelors or Masters in Computer Science, Engineering, or related field.

  • Technical Skills:

  • Strong in ETL, data modeling, and pipeline development.

  • Hands-on with Snowflake, Redshift, BigQuery, Data Lakes, and Data Warehouses.
  • Expertise in Spark, Hadoop, Kafka and programming languages (Python, Scala, SQL, Java).
  • Cloud exposure to AWS Glue, Azure Data Factory, GCP BigQuery.
  • Proficiency in CI/CD, Infrastructure-as-Code (Terraform, Cloud Formation).

Interested candidates kindly share your updated resume to

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