Data Platform Engineer, Senior Staff

* Design and build scalable, distributed data platform systems

* Own Databricks workspace architecture, governance, and lifecycle management

* Implement infrastructure as code using Terraform/Terramate

* Build and support end-to-end data pipelines, from ingestion to analytics and ML

* Develop and maintain CI/CD pipelines for infrastructure, data pipelines, notebooks, SQL, and ML artifacts

* Operate and optimize Amazon EKS clusters supporting data workloads

* Define and monitor SLIs/SLOs for platform reliability and data quality

* Drive innovation and continuous improvement across platform architecture and tooling

* Lead incident response, on-call rotations, and blameless post-mortems

* Implement strong security, compliance, and governance controls

* Mentor engineers and influence platform standards and best practices

* Proven experience designing complex, distributed data systems end-to-end

* Strong system design skills across cloud infrastructure, data pipelines, storage, governance, and observability

* Ability to evaluate and communicate architectural trade-offs (scalability, reliability, cost, security, operability)

* Introducing new architectural patterns or platform capabilities

* Improving reliability, performance, or developer experience through design

* 8+ years building and operating large-scale cloud platforms

* Expert-level experience with AWS, including networking, IAM, security, and multi-account environments

* Strong hands-on experience with Databricks Lakehouse Platform, including:

* Experience owning Databricks workspace architecture and governance

* Deep experience with Terraform/Terramate (or similar IaC tools)

* Proven experience building CI/CD pipelines (GitHub Actions, Jenkins)

* Hands-on experience managing Amazon EKS clusters and Helm deployments

* Experience defining and operating SLIs/SLOs for platform reliability and data quality

* Experience supporting SOX, GDPR, or regulated environments

* AWS Certified DevOps Engineer - Professional (or equivalent experience)

* Strong communication skills to explain complex system designs to technical and non-technical stakeholders

* Experience with Acceldata, OpenTelemetry, or data observability tools

* Experience with Fivetran Hybrid / HVR or enterprise ingestion tools

* Experience working with Hashicorp vault or similar secret management tools

* Experience working with static Code analysis tool like Sonar

* Databricks serverless compute optimization and cost management

* Experience driving platform strategy across multiple teams distributed globally