Platform Engineer - Starburst Enterprise

Key Responsibilities

• Platform Support:

o Provide technical support and troubleshoot issues related to the Starburst Enterprise Platform.

o Ensure platform performance, availability, and reliability using Helm charts for resource management.

• Deployment and Configuration:

o Manage deployment and configuration of the Starburst Enterprise Platform on Kubernetes using Helm charts and YAML-based values files.

o Build and maintain Docker images as needed to support efficient, scalable deployments and integrations.

o Employ GitHub Actions for streamlined CI/CD processes.

• User Onboarding and Support:

o Assist in onboarding users by setting up connections, catalogs, and data consumption client tools.

o Address user queries and incidents, ensuring timely resolution and issue triage.

• Maintenance and Optimization:

o Perform regular updates, patching, and maintenance tasks to ensure optimal platform performance.

o Conduct application housekeeping, user query logs, and access audits.

• Scripting and Automation:

o Develop automation scripts using Python and GitHub pipelines to enhance operational efficiency.

o Document workflows and ensure alignment with business objectives.

• Broader Knowledge and Integration:

o Maintain expertise in technologies like Immuta, Apache Ranger, Collibra, Snowflake, PostgreSQL, Redshift, Hive, Iceberg, dbt, AWS Lambda, AWS Glue, and Power BI.

o Provide insights and recommendations for platform improvements and integrations.

• New Feature Development and Integration:

o Collaborate with feature and product development teams to design and implement new features and integrations with other data product value chain systems and tools.

o Assist in defining specifications and requirements for feature enhancements and new integrations.

• Automation and Innovation:

o Identify opportunities for process automation and implement solutions to enhance operational efficiency.

o Innovate and contribute to the development of new automation tools and technologies.

• Incident Management:

o Support incident management processes, including triaging and resolving technical challenges efficiently.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• Experience supporting and maintaining applications deployed on Kubernetes using Helm charts and Docker images.

• Understanding of RDS, GitHub Actions, and CI/CD pipelines.

• Proficiency in Python and YAML scripting for automation and configuration.

• Excellent problem-solving skills and the ability to support users effectively.

• Strong verbal and written communication skills.

Preferred Qualifications

• Experience working with Kubernetes (k8s).

• Knowledge of data and analytical products like Immuta, Apache Ranger, Collibra, Snowflake, PostgreSQL, Redshift, Hive, Iceberg, dbt, AWS Lambda, AWS Glue, and Power BI.

• Familiarity with cloud environments such as AWS.

• Knowledge of additional scripting languages or tools is a plus.

Beneficial Experience

• Exposure to Starburst or other data virtualization technologies like Dremio, Trino, Presto, and Athena.