Data Engineering Manager.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global technology and analytics company operating in the computer software industry. They serve enterprises across multiple regions with data-driven, cloud-based digital solutions. The organization is known for its fast-paced, collaborative culture and its focus on innovation and continuous learning.
About the role.
We are seeking a highly skilled Data Engineering Manager to drive end-to-end data engineering initiatives and lead cross-functional teams. The role focuses on delivering scalable, cloud-based data solutions for global stakeholders. The ideal candidate combines deep technical expertise with strong leadership and stakeholder management skills.
What you will do.
- 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 capability building.
- Establish and enforce engineering best practices, coding standards, and reusable frameworks.
- Oversee end-to-end project delivery, ensuring timely, high-quality execution aligned with 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.
- Collaborate with clients, product owners, and business leaders to gather requirements and define technical solutions.
- Communicate project updates, timelines, risks, and technical concepts to both technical and non-technical stakeholders.
What you bring.
- 10-12+ years of experience in data engineering with proven delivery of enterprise-scale projects.
- Strong expertise in batch systems, distributed systems, and cloud-native architectures.
- Proficiency in Databricks, SQL, and Azure services (Synapse, Dedicated SQL Pool, ADLS, Spark Pool, Azure Data Factory, Power BI).
- Hands-on experience with Python, PySpark, and building cloud-based microservices.
- Experience working in Agile/Scrum environments with iterative delivery cycles.
- Demonstrated capability in leading offshore teams and coordinating multi-region delivery efforts.
- Good exposure to Azure identity management (SPN, UMI, MI), data observability (DataDog/Splunk), and DevOps tools (Jenkins, Git, GitHub/GitLab) with CI/CD pipeline implementation.
- Bachelor's degree in computer science, software engineering, MIS, or equivalent combination of education and experience.
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