Staff Data Platform Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Platform Engineer based in United States.
This role offers the opportunity to shape the data foundation behind next-generation digital experiences at a global sports media organization.
You will design and build scalable data platforms, backend services, and cloud-based solutions that support millions of users and high-volume content ecosystems.
As a senior technical leader, you will influence architecture decisions, establish engineering best practices, and mentor other engineers.
You will work across data engineering, backend development, and cloud infrastructure to solve complex technical challenges.
The position requires strong ownership, technical depth, and the ability to transform evolving business needs into reliable solutions.
You will play a key role in creating resilient systems that power engaging experiences for passionate sports communities worldwide.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Platform Engineer based in United States.
This role offers the opportunity to shape the data foundation behind next-generation digital experiences at a global sports media organization.
You will design and build scalable data platforms, backend services, and cloud-based solutions that support millions of users and high-volume content ecosystems.
As a senior technical leader, you will influence architecture decisions, establish engineering best practices, and mentor other engineers.
You will work across data engineering, backend development, and cloud infrastructure to solve complex technical challenges.
The position requires strong ownership, technical depth, and the ability to transform evolving business needs into reliable solutions.
You will play a key role in creating resilient systems that power engaging experiences for passionate sports communities worldwide.
Accountabilities:
- Architect and develop complex distributed systems designed for scalability, reliability, fault tolerance, and long-term maintainability.
- Build and maintain scalable microservices supporting both real-time and batch data processing workflows.
- Design and optimize high-performance REST APIs with strong focus on reliability, observability, and operational excellence.
- Develop efficient data models, storage strategies, and queries across SQL and NoSQL database environments.
- Lead data quality initiatives to improve accuracy, consistency, and trust across platform data assets.
- Collaborate with product, engineering, and cross-functional teams to translate business requirements into effective technical solutions.
- Establish engineering standards around code quality, testing practices, deployment processes, and system monitoring.
- Mentor engineers through technical guidance, design reviews, code reviews, and knowledge sharing.
- Own the full software development lifecycle, including implementation, deployment, monitoring, troubleshooting, and incident response.
- Leverage modern AI-powered tools and frameworks to improve engineering productivity and optimize technical workflows.
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.
- 10+ years of professional experience focused on backend engineering, data engineering, and large-scale software systems.
- Proven experience designing and operating distributed systems using microservices architectures, including scalability, performance, fault tolerance, and observability best practices.
- Strong experience building reliable backend services using modern programming languages such as TypeScript and Node.js.
- Hands-on experience with CI/CD pipelines, infrastructure automation, and cloud-based deployment practices.
- Experience working with public cloud platforms such as AWS or GCP.
- Familiarity with AWS serverless technologies and infrastructure-as-code tools such as SST, CDK, or Terraform.
- Experience with NoSQL databases such as DynamoDB and event-driven architectures including streaming technologies like Kinesis or DynamoDB Streams.
- Strong understanding of data modeling, database optimization, and scalable data processing patterns.
- Demonstrated ability to lead technical initiatives, mentor engineers, and influence engineering practices.
- Excellent communication, analytical thinking, and problem-solving skills.
- Ability to manage ambiguity, adapt to changing priorities, and independently drive complex projects to completion.
- Competitive compensation range of $213,512 – $245,538.
- Flexible work environment designed to support professional and personal balance.
- Opportunity to work on impactful technology powering large-scale digital experiences.
- Annual equity awards for high-performing employees.
- Comprehensive medical, dental, and vision insurance plans.
- Company-paid short-term disability, long-term disability, and life insurance coverage.
- 401(k) plan with immediate company matching contributions.
- Progressive parental leave policies.
- Flexible paid time off.
- Annual company events and opportunities to collaborate with teams in Austin, Texas.
- Hackathons, team-building activities, and employee engagement events.
- Support for community initiatives and youth sports programs.
- Regular team meals, snacks, and workplace perks.
The Staff Data Platform Engineer will be responsible for leading the design, development, and evolution of large-scale data systems while driving technical excellence across engineering teams. This role combines backend engineering, data architecture, and cloud expertise to deliver reliable, scalable, and high-performing platforms.
Requirements:
The ideal candidate brings extensive experience building backend and data platforms, with strong technical leadership skills and the ability to operate effectively in complex, evolving environments.