Teams at AgileEngine

Leads end-to-end technical programs across distributed engineering teams, focusing on product integration and AWS-to-GCP cloud migration. Responsibilities include defining workstreams and milestones, coordinating engineering, testing, data validation, parallel runs, reconciliation, and production cutovers; managing roadmaps, risks, dependencies, and delivery commitments; and reporting progress and decisions to senior stakeholders.

Execute large-scale data platform migrations to Snowflake, adapting approximately 1,000 datasets and pipelines. Build, test, monitor, and troubleshoot Airflow workflows while supporting migrations from Airflow 2 to 3, Confluent region changes, and Iceberg adoption. Ensure data quality and reliability using Python, advanced SQL, Spark, PySpark, Kafka, Snowflake, and AWS S3. Collaborate with data platform teams on modernization initiatives and meet time-sensitive delivery targets.

Own infrastructure-as-code and CI/CD deployment pipelines while developing Golang and Node.js backend services for an identity and entitlement platform. Rework CRM integrations, build backward-compatible entitlement integrations, execute system cutovers, validate permissions, support data migration and UAT, and maintain deployment infrastructure. The role is a six-month remote engagement based in India.