
Data Engineer Lead
20 hours ago
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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