Database Administrator III

Job#: 3035133

Job Description

Our client provides data analytics services that support game teams and analysts across their Games organization. As players perform actions in-game, our platform collects telemetry in real-time. The data collected provides insights for guiding game development, marketing, and monetization. Some of our featured games include Game of Thrones:
Conquest, Injustice 2, Mortal Kombat, Batman:
Arkham Knight, Hogwarts Legacy.

The Data Platform Engineer / DBA manages our database and data platform fleet, maintaining secure, optimized, and highly available databases, data warehouses, and lake houses. Our stack is evolving:
Redshift remains a core platform, and we are actively expanding into Databricks and open table format (Apache Iceberg on S3). The Data Platform Engineer / DBA works closely with engineering and analytics teams to design, implement, and maintain these systems.

• Operate Redshift clusters, Databricks work spaces, RDS/Aurora Postgre
  
  SQL instances, and supporting AWS infrastructure.
• Perform user/security tasks across platforms:
  Redshift user/group management, Databricks Unity Catalog access controls, IAM Roles/Policies, RDS parameter and access management.
• Design and maintain open table format data lakes using Apache Iceberg on S3, including compaction, snapshot management, partition strategies, and schema evolution.
• Profile production workloads and develop strategies to run optimized clusters and work spaces with scale and efficiency.
• Provide architecture guidance and support to technical leads; help develop code and SQL for data assets, identify performance tuning opportunities, and work with developers to improve production systems.
• Contribute to and maintain automation scripts and internal tooling with production-quality code standards (unit tests, peer review, documentation, Git-based workflows).
• Develop monitoring and recovery automation to identify and resolve issues to meet our high SLA.
• Research new technologies and develop proofs of concept; propose technical improvements and new capabilities.

• Experience with AWS data services:
  Redshift, RDS/Aurora Postgre
  
  SQL, S3, EC2, Athena, Glue, Lake Formation – 3+ years.
• Experience with Databricks: workspace administration, Unity Catalog, cluster management, Spark SQL, Delta Live Tables or similar – 2+ years.
• Experience with Postgre
  
  SQL or Aurora Postgre
  
  SQL: query tuning, replication concepts,  views, parameter groups – 2+ years.
• Experience with AWS Security: IAM (Users, Groups, Roles, Policies, Instance Profiles), Redshift/RDS security, S3 bucket policies – 2+ years.

• PySpark for data pipeline development.
• AWS Glue with Iceberg or Delta Lake integration.
• Snowflake administration.
• Terraform or AWS CDK for infrastructure as code.
• Dynamo
  
  DB experience.
• Feature Store.

• Ability to read, understand, debug, and extend complex Python codebases; comfort navigating large repositories with multiple modules and abstractions.
• Strong analytical and critical thinking skills.
• Ability to lead projects, prioritize, and multitask.
• Deadline- and detail-oriented.
• Part of on-call rotation.

• Experience with Apache Iceberg on S3: partition management, compaction, snapshot management, schema evolution.
• Proficiency in Python for automation and shared tooling: object-oriented design, writing maintainable and testable code, participating in code review, and contributing to a shared Git-based codebase.
• Experience automating database and platform operations using Python, Jenkins, Airflow, Datadog and Git.

• None required.

• 1st round with Hiring Manager.
• 2nd round (panel or 1:1) with Technical Teams (technical screening).
• Possible 3rd round interview.

• Hybrid role – 3-days on-site preferred.

Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program)…