Senior Data Engineer

Role : Data Engineering Lead / Manager

Experience: 812 Years

Mode of work : Hybrid

We are looking for a Data Engineering Manager to lead and drive execution for data engineering initiatives. This role combines technical leadership, delivery ownership, and hands-on data engineering expertise.

The ideal candidate will manage a team of data engineers while actively contributing to data platform development, ensuring successful execution of data pipelines, release deliverables, and stakeholder expectations.

This role bridges engineering leadership and hands-on data execution, enabling scalable and reliable data solutions.

Key Responsibilities :

1. Team Leadership & Delivery Execution

Lead and manage a team of 810 data engineers.

Drive sprint execution, planning, and delivery tracking aligned with program release cycles.

Coordinate cross-functional execution across engineering and product stakeholders.

Remove delivery blockers and ensure timely completion of milestones.

Provide technical mentorship and guidance to engineers.

2. Hands-on Data Engineering

Contribute directly to development of data pipelines and data workflows (~3050% hands-on).

Perform data analysis and SQL-based problem solving.

Design and optimize ETL/ELT pipelines.

Work with structured and enterprise data sources including SAP systems.

Support troubleshooting and performance optimization

3. Data Platform & Engineering Ownership

Oversee development and maintenance of scalable data pipelines.

Ensure adherence to data engineering best practices and coding standards.

Maintain data quality, reliability, and operational stability.

Support data migration and integration initiatives.

4. Stakeholder & Program Collaboration

Act as the technical interface between engineering teams and program stakeholders.

Translate business requirements into executable technical tasks.

Support program release planning and execution readiness.

Communicate progress, risks, and technical decisions effectively.

Required Technical Skills :

Strong expertise in SQL and data analysis

Experience building and managing ETL pipelines

Hands-on experience with:

PySpark

Postgres SQL or similar RDBMS

Azure cloud ecosystem (or equivalent cloud platforms)

Experience working with enterprise data flows (SAP or similar systems)

Data warehousing and data modeling fundamentals

Strong debugging and performance optimization skills

Leadership & Functional Skills

Experience leading or mentoring engineering teams.

Ability to manage delivery execution in agile environments.

Strong stakeholder management and communication skills.

Experience coordinating across distributed teams.

Preferred Qualifications :

Experience leading data transformation or migration initiatives.

Exposure to Databricks or modern lakehouse architectures.

Prior experience in enterprise-scale data programs.

Scrum/agile exposure (certification not mandatory).

Role Success Indicators

Stable and predictable delivery of data initiatives.

Effective management of data engineering team execution. High-quality, scalable data pipelines.

Strong collaboration between technical and program teams.

Education :

Bachelors or Masters degree in Computer Science, Engineering, or related field.