Data Platform Engineer

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.

Nice to have:

• Experience with Infrastructure as Code tools (Terraform / CloudFormation).
• Experience with Kubernetes, containerized environments.
• Experience with Kafka, Iceberg, Databricks, Snowflake.