Data Platform Engineer
Full-time
ScalableOS
SUMMARY
We are looking for a hands-on Senior Platform Engineer to build and extend an internal developer platform focused on self-service environment provisioning, platform automation, and reusable engineering capabilities.
This is not a traditional DevOps-only role. The engineer will work across software engineering and platform engineering, building both the internal vending platform and the reusable components it delivers to engineering teams.
JOB RESPONSIBILITIES
- Build and enhance internal platform services using Python, FastAPI/Flask, REST APIs, and related frameworks.
- Develop reusable Python libraries, wheel packages, plugins, SDKs, and automation components.
- Build custom plugins for data governance, data contracts, schema/DDL generation, event-driven architecture, validation, and platform guardrails.
- Automate data-contract-driven workflows, including generating DDLs, schemas, configuration, governance rules, or deployment assets.
- Create reusable golden paths and project templates using Jinja, Copier, or similar frameworks.
- Build and maintain Terraform modules for AWS, IAM, EKS, Airflow, Databricks, secrets, and supporting infrastructure.
- Support multi-account and multi-environment AWS deployments.
- Build and maintain Harness CI/CD pipelines for infrastructure, platform services, Airflow, Databricks, and application workloads.
- Integrate Harness with GitHub/GitLab, Terraform, AWS, Kubernetes, and secrets-management systems.
- Support Kubernetes / Amazon EKS, Airflow / Astronomer, Databricks / Unity Catalog, Kafka / Confluent, and observability platforms.
- Implement secure IAM, cross-account access, policy controls, and least-privilege design.
- Troubleshoot end-to-end platform workflows across APIs, pipelines, Terraform, AWS, Kubernetes, Airflow, and Databricks.
QUALIFICATIONS
- 5+ years in Platform Engineering, Cloud Engineering, DevOps, SRE, Infrastructure Engineering, or Software Engineering.
- Strong Python development experience beyond scripting.
- Experience with FastAPI, Flask, REST APIs, and production Python services.
- Experience building reusable Python packages, plugins, or internal developer tooling.
- Strong Terraform experience, including reusable modules and state management.
- Strong AWS experience, including multi-account environments and IAM.
- Strong CI/CD experience using Harness.
- Experience with GitHub and/or GitLab.
- Docker and Kubernetes / EKS knowledge.
- Strong troubleshooting, API integration, and software-engineering practices.
Preferred Skills
- Apache Airflow / Astronomer
- Databricks / Unity Catalog
- Databricks Asset Bundles
- Data contracts / ODCS
- Data governance automation
- Event-driven architectures
- Kafka / Confluent
- Backstage
- Jinja / Copier
- OPA / Rego
- Datadog
- Terraform Cloud / HCP Terraform
- Harness.
JOB REQUIREMENTS
- Should be willing to accept a long-term work-from-home arrangement.
- Should be amenable to a permanent night shift schedule.
Vacancy posted 23 days ago
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