Platform Engineer

Role & responsibilities

• 10+ years of experience in Data Engineering / Data Platform roles
• Strong hands-on expertise in:
• Databricks (Delta Lake, workflows, DAG)
• Apache Airflow / Astronomer
• Python, SQL, DBT ,AWS
• Proven experience implementing CI/CD frameworks (Harness, GitHub Actions, Azure DevOps)
• Deep understanding of:
• Data governance (catalogs, lineage, contracts, metadata)
• Data quality and masking techniques
• Enterprise data platforms and marketplace ecosystems
• Experience with API-based integrations (e.g., entitlement systems like AccessCentral)
• Monitoring/observability tools (e.g., Datadog)

Preferred candidate profile

Platform engineers must demonstrate genuine platform and infrastructure engineering capability across ten domains:

Infrastructure as Code

Cloud Platform Management (AWS and Azure)

CI/CD (including Harness)

Databricks platform provisioning (not just pipeline development)

Performance Tuning

Software Development (Python)

Container Platform (Kubernetes)

Networking

Security

Disaster Recovery (build, maintain and support DR features and tooling)