We are looking for a strong, hands-on Data Platform Engineer to join our team and play a key role in building our data infrastructure from the ground up.
In this role, you will design and implement scalable data pipelines and platforms, supporting both batch and real-time use cases.
You will work closely with analysts and stakeholders to deliver reliable, high-quality data solutions, and take full ownership of data flows - from ingestion to consumption.
This is a great opportunity for an executor who enjoys building, moving fast, and making an impact.
What will your job look like?
- Design, build, and maintain the underlying infrastructure for a modern cloud-based data platform.
- Implement and manage CI/CD processes for data pipelines and platform deployments across development and production environments.
- Design and manage secure, scalable AWS-based data infrastructure, including IAM roles, permissions, policies, networking, and environment isolation.
- Build and maintain orchestration, monitoring, alerting, and observability capabilities for data pipelines and platform services.
- Support deployment, reliability, and operational excellence of data workloads running on technologies such as Spark, DBT, Airflow, Athena, and AWS services.
- Collaborate closely with Data Engineers, Analysts, BI teams, and IT/Cyber teams to ensure secure and scalable data operations.
- Monitor, troubleshoot, and optimize platform performance, availability, and cost efficiency.
- Establish best practices for infrastructure-as-code, deployment standards, security, and production readiness.
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