Senior Data Engineer

Role : Data Engineering Lead / Manager

Experience: 8–12 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 8–10 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 (30–50% 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 :

Bachelor's or Master's degree in Computer Science, Engineering, or related field.