Senior Manager - Data Engineering - Snowflake DB/Kafka/AWS
First seen by Alion on Oct 26, 2026.
Job Description :
Position : Senior Manager Data Engineering
Location : Chennai / Pune
Experience : 8+ Years
About the Role :
We are seeking an experienced Senior Manager Data Engineering to lead a talented Data Engineering team and drive the architecture, development, and delivery of enterprise-scale data solutions.
This role requires a strong technical leader who can manage teams while remaining hands-on with architecture, coding, technical reviews, and complex engineering initiatives. You will be responsible for building scalable data platforms, driving modern data engineering practices, and enabling an AI-first analytics ecosystem.
Key Responsibilities :
- Lead and mentor a team of Data Engineers, including performance management, hiring, coaching, and career development.
- Own the design and delivery of enterprise-scale data engineering solutions.
- Architect and optimize modern data warehouse platforms with focus on performance, scalability, and cost efficiency.
- Work extensively with Snowflake for enterprise data warehousing, optimization, and cost management.
- Design and implement real-time data processing solutions using Apache Kafka and event-driven architectures.
- Build and support data lakehouse architectures using Apache Iceberg and modern table formats.
- Drive technical strategy, architecture reviews, and implementation of advanced data engineering solutions.
- Evaluate and implement modern data stack technologies and analytics platforms.
- Collaborate with senior stakeholders and cross-functional teams to align data solutions with business objectives.
- Manage complex, multi-quarter engineering initiatives across multiple teams.
- Participate in technical hiring, design reviews, and engineering best practices.
- Ensure compliance with data governance, security, and regulatory standards.
Required Skills & Experience :
- Bachelors degree in Computer Science, Data Engineering, or related technical field.
- 8+ years of experience in Data Engineering with large-scale, high-volume data environments.
- Experience managing and mentoring Data Engineering teams.
- Strong expertise in SQL optimization for large datasets and advanced Python programming.
- Extensive experience with Snowflake architecture, performance tuning, and cost optimization.
- Strong knowledge of Kimball dimensional modeling, data warehousing, and star schema design.
- Hands-on experience with AWS cloud infrastructure.
- Experience with DBT or SQLMesh for data transformation workflows.
- Strong understanding of CI/CD pipelines, GitFlow, and data engineering best practices.
- Experience implementing data governance frameworks and compliance standards such as GDPR and PCI-DSS.
- Ability to plan, prioritize, and execute engineering initiatives effectively.
- Experience collaborating with Data Analysts, Data Scientists, Machine Learning teams, and PMO functions across global teams.
Preferred Skills :
- Experience with modern data stack technologies.
- Exposure to AI/ML-driven data platforms and analytics ecosystems.
- Strong stakeholder management and communication skills.
Skills
Data Engineering, Data Warehousing, Dimensional Modeling, Kafka, AWS, SQL, Python, Data Governance, PCI-DSS, Snowflake DB