Engineering Manager Build the Future of Global Data Platforms at AVIS

Role: Engineering Manager

Job Summary

Lead and manage the Avis Budget Group India Data Platform Engineering team, providing platform development and operations support within a new centralized global data architecture and engineering framework. You will enforce best practices, governance, and drive automation, efficiency, and performance of the enterprise data platform.

This role requires a resourceful individual, a persistent problem solver, people leader and a strong hands-on engineer who can move around various technology stacks with ease.

What Youll Do:

• Lead configuration and design of database systems and data integration services, ensuring PII, GDPR, encryption, and security best practices.
• Develop and maintain robust data pipelines on AWS and OCI clouds for ingestion, transformation and storage.
• Implement and maintain IBM CDC target environments and Confluent Kafka clusters to meet strong performance requirements.
• Handle data migrations using AWS DMS, ensuring data encryption at rest and in motion with IBM Voltage.
• Drive POCs and rollout of cloud-based solutions with infrastructure-as-code (Terraform/CloudFormation) and CI/CD pipelines.
• Oversee data modelling standards, metadata management, and data quality practices across the platform.
• Provide L3 support for critical production systems, enhance observability stacks (Dynatrace, AWS CloudWatch) and enforce operational excellence.
• Manage, mentor and coach a team of Data Platform Engineers, fostering a collaborative environment for innovation and growth.
• Engage with global data teams and stakeholders to deliver secure, cost-optimized, and high-impact platform solutions.

Skills you should bring to the table:

• 12+ years of experience in data platform engineering, including 5+ years in a people-management role.
• Advanced expertise in AWS services (RDS, Redshift, DMS, Lambda), OCI cloud data services and infrastructure-as-code.
• Proficiency with IBM CDC replication technologies, Confluent Kafka and IBM Voltage encryption solutions.
• Strong background in data modelling, ETL design, database tuning and big data solutions (NoSQL, streaming).
• Strong expertise in NoSQL database (preferably Couchbase) cluster management, including version upgrades, security patching, performance tuning, and ensuring high availability through node scaling and rebalancing.
• Hands-on experience with Python/Shell scripting, Terraform, CloudFormation and Jenkins-based CI/CD.
• Solid understanding of Linux/Unix environments, networking protocols and production system ownership.
• Excellent communication skills and ability to collaborate across IST and US East time zones.