Senior Data Engineer

Job Description

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.