Manager, Data Engineering

Manager, Data Engineering

Pune, Maharashtra, India

Full-time

Region : India

Position Overview :

We're seeking a Manager - Data Engineering to lead our growing data engineering team based in Pune. This leadership role will focus on building scalable, secure, and high-performance data platforms, pipelines, and products for our global, multi-tenant SaaS applications.

You will work closely with cross-functional teams including Product, Architecture, UX, QA, and DevOps to deliver robust data solutions that power products and reporting systems - especially in the areas of ETL pipelines, cloud-native data warehousing, and unstructured data lakes.

 Key Responsibilities

👥 Team Leadership & Development

• Lead, mentor, and retain a high-performing team of data engineers
• Conduct regular 1:1s, performance reviews, and growth planning
• Foster a collaborative team culture and instill best practices

📦 Project & Delivery Management

• Drive delivery of data solutions aligned with sprint and release goals
• Ensure on-time delivery, high code quality, and scalability
• Facilitate agile ceremonies: sprint planning, retrospectives, and stand-ups

🧩 Technical Execution & Architecture

• Architect and guide the development of scalable ETL/ELT pipelines
• Build and maintain data lake solutions using AWS tools to manage unstructured and semi-structured data
• Work with large-scale datasets from diverse sources including APIs, logs, files, and internal systems
• Optimize performance, security, and maintainability of data pipelines
• Promote usage of tools such as Snowflake, dbt, Python, and SQL

🔐 Data Governance & Best Practices

• Ensure adherence to internal coding standards and data security guidelines
• Implement best practices for data modeling, quality checks, and documentation
• Collaborate with architecture and infrastructure teams on cloud cost optimization and performance

✅ Required Skills & Experience

• 12- 15 years in Data Engineering, Data Architecture, or similar roles
• Minimum 3 years in a leadership or managerial capacity
• Proven experience building robust ETL pipelines, preferably for multi-tenant SaaS platforms
• Strong technical hands-on expertise with:
• AWS Services: S3, Glue, Lambda, Redshift, EMR
• Data Platforms: Snowflake, dbt
• Programming: Python, SQL
• Unstructured Data Handling: Data lakes, JSON, XML, log data
• Expertise in SQL-based data warehousing and RDBMS systems
• Knowledge of CI/CD, version control (GitHub), and Agile/Scrum methodologies
• Ability to balance technical depth with stakeholder communication and delivery tracking
• Understanding of modern lakehouse architecture and tools like Apache Hudi, Iceberg, or Delta Lake.

⭐ Good to Have

• Experience in product-based companies (SaaS, ESG, Supply Chain domains preferred)
• Familiarity with data security standards (e.g., GDPR, SOC2)
• Experience with orchestration tools (Airflow, Step Functions), data cataloging, or cost optimization

📩 Interested candidates can share their CVs at:

geet.prometheus@gmail.com