Data Platform Engineer

Job Description

We are seeking a highly skilled Data Platform Engineer to design, build, automate, and support enterprise-scale data platforms across hybrid cloud environments. This role will focus on platform engineering, infrastructure automation, observability, and the operational excellence of modern analytics ecosystems supporting large-scale data products.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

• 5+ years of professional experience with large-scale data platform, data product development, and platform operations
• 2+ years of experience developing and operating infrastructure, data platforms, and cloud services in hybrid environments (On-prem, AWS, or GCP)
• Hands-on experience with operations automation and observability on HDFS and Objectstores
• Experience with Jupyter Notebook environment automation and operations
• Proficient in one or more programming languages (Python, Java, or Scala) for automation, API integrations, and Spark job development
• Proficient with analytics stack including Apache Spark/Flink, Iceberg, Airflow, and Kubernetes
• Knowledge of CI/CD technologies including Git Lab, Terraform, Docker/Kubernetes, and cloud monitoring tools (Splunk, Grafana, Datadog)
• Experience implementing security controls, governance processes, compliance validation, infrastructure cost analysis, and optimization