Description We are seeking a highly skilled Data Engineer Senior Manager to drive end-to-end data engineering initiatives, lead cross-functional teams, and deliver scalable, cloud-based data solutions. The ideal candidate will bring deep technical expertise, strong leadership, and the ability to collaborate effectively with global stakeholders in a fast-paced workplace. Responsibilities Key Responsibilities
Leadership & Team Management
Lead and mentor a team of onshore and offshore data engineers to ensure high-quality deliverables.
Provide technical direction, coaching, and knowledge sharing to foster team growth and build capability.
Establish and enforce engineering best practices, coding standards, and reusable frameworks.
Champion innovation, continuous learning, and thought leadership within the data engineering function.
Project Delivery & Execution
Oversee end-to-end project delivery, ensuring timely, high-quality execution aligned with project objectives.
Define high-level solution designs, data architectures, and ETL/ELT frameworks for cloud-based data platforms.
Drive development, code reviews, unit testing, and deployment to production environments.
Ensure optimal performance, scalability, and reliability across data pipelines and systems.
Stakeholder Communication & Collaboration
Collaborate with clients, product owners, business leaders, and offshore teams to gather requirements and define technical solutions.
Communicate project updates, timelines, risks, and technical concepts effectively to both technical and non-technical stakeholders.
12+ years of experience in Data Engineering with proven experience in delivering enterprise-scale projects.
Strong expertise in Batch Systems, distributed systems, and cloud-native architectures.
Proficiency in Data Bricks, SQL, and a wide range of Azure services (e.g., Synapse, Dedicated SQL Pool, ADLS, Spark Pool, Azure Data Factory, Power BI).
Hands-on experience with Python, PySpark, and building cloud-ba
📌 Data Architect (Gurugram)
🏢 EXL
📍 Gurugram