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 quick-paced environment. 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-based microservices.
- Strong problem-solving, analytical skills, and end-to-end ownership mindset.
- Proven ability to work in Agile/Scrum environments with iterative delivery cycles.
- Exceptional communication, leadership, and stakeholder management skills.
- Demonstrated capability in leading offshore teams and coordinating multi-region delivery efforts.
- Good exposure with Azure Identity management (SPN, UMI, MI).
- Experience in Data Observability using DataDog/Splunk.
- Experience with DevOps tools (Jenkins, Git, GitHub/GitLab) and CI/CD pipeline implementation.

📌 Data Architect (Gurugram)
🏢 EXL
📍 Gurugram