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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Engineer - **Company:** Sony Interactive Entertainment - **Location:** San Diego, CA, United States - **Experience:** Experienced - **Salary:** $125,800.0 - $188,800.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Data Analysis, Cloud Computing, Configuration Management, Code Review, Continuous Integration, Data as a Services, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, DevOps, Distributed Computing Environment, Amazon DynamoDB, Github, Identity and Access Management, Python (Programming Language), Key Management, Machine Learning, Role-Based Access Control, SQL Databases, Systems Integration, Apache Spark, Data Analytics, Cloudwatch, Api Gateway, Terraform, Data Pipelines, Jenkins, Databricks - **Published:** June 28, 2026 - **Apply:** https://www.dice.com/job-detail/c6c54bdd-bdf6-4a27-8b83-035ae782a074 ## About the Role * 2+ years of experience in platform engineering, DevOps, cloud infrastructure, or related engineering roles. * Hands-on experience with AWS services in production environments. * Experience working with Databricks. * Experience with CI/CD tools and workflows, such as GitHub Actions or Jenkins. * Familiarity with AWS Cost Management tools, CloudWatch, CloudTrail, and related operational tooling. * Understanding of security fundamentals, including IAM/RBAC, least privilege access, network controls, encryption, and secrets management. * Strong communication and collaboration skills in a cross-functional environment. * Interest in expanding into Data Engineering and supporting data-driven platforms. Preferred Qualifications * Proficiency in Python and SQL. * Experience with AWS data services such as Glue, Kinesis, or Lambda. * Exposure to Spark and distributed data processing. * Experience developing or supporting data pipelines and ETL workflows. ## Description We're looking for a highly motivated, hands-on Data Platform Engineer to help build, maintain, and evolve our cloud-based data platform on AWS and Databricks. This role is ideal for an engineer with experience in DevOps, platform engineering, or cloud infrastructure who is interested in expanding into Data Engineering while supporting a modern data ecosystem. You will work closely with Data Engineering and Data Science teams to maintain reliable, secure, and scalable infrastructure, improve platform operations, and contribute to data pipeline development and platform tooling. The interview process will include multiple rounds of virtual interviews. Candidates who advance to the final stage will be required to participate in an onsite interview at the San Diego Studio. Responsibilities Platform Administration & Cloud Infrastructure * Support administration of AWS services and Databricks environments. * Maintain platform configurations, access controls, and security best practices. * Assist with vendor and platform partner relationships. * Contribute to monitoring, troubleshooting, operational support, and reliability improvements. Infrastructure & DevOps * Develop and maintain Infrastructure as Code using Terraform. * Improve environment provisioning and configuration management across development and production environments. * Support CI/CD workflows for infrastructure and platform deployments. * Implement and maintain operational best practices for cloud infrastructure. Data Platform & Engineering Support * Support development and maintenance of data pipelines and integrations using Python, Spark, SQL, and AWS services such as API Gateway, EC2, DynamoDB, and Glue. * Assist with data quality validation, testing, code reviews, and documentation. * Collaborate with Data Engineering and Data Science teams to support analytics, machine learning, and telemetry initiatives. * Contribute to platform tooling and process improvements that increase team productivity and reliability. Cost & Operational Governance * Support cloud cost management through resource tagging, budgeting, usage monitoring, and optimization efforts. * Assist with rightsizing compute, storage, and workload configurations. * Help identify opportunities to improve efficiency and reduce operational costs. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)