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.

• 8–12 years of experience
• Strong expertise in SQL and data analysis
• Experience building and managing ETL pipelines
• Hands-on experience with PySpark
• Hands-on experience with Postgres SQL or similar RDBMS
• Hands-on experience with Azure cloud ecosystem or equivalent
• Experience working with enterprise data flows (SAP or similar)
• Data warehousing and data modeling fundamentals
• Strong debugging and performance optimization 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
• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Experience leading data transformation or migration initiatives
• Exposure to Databricks or modern lakehouse architectures
• Prior experience in enterprise-scale data programs
• Scrum/agile exposure