Role Description Fanatics Betting & Gaming (FBG) is seeking a Staff Platform Storage Engineer to join our Platform Storage team, based in the United States. This role owns a critical slice of our data infrastructure — including a portfolio of production PostgreSQL databases and our Kafka/MSK streaming platform — and acts as the embedded platform liaison for the product teams built on top of them. As a Staff Engineer, you will operate with a high degree of autonomy, leading complex database and streaming infrastructure initiatives, setting standards for reliability and performance, and acting as the go-to technical resource for schema design, query performance, and incident response across the teams you support. Responsibilities - Own database liaison responsibility for a portfolio of production PostgreSQL/RDS instances — query review, schema change approval, performance tuning, and incident triage for the teams built on top of them. - Operate and evolve our Kafka/MSK streaming platform: topic lifecycle management via GitOps, cluster health across environments, and CDC (Debezium) pipeline reliability. - Build and maintain self-service tooling that lets product teams provision database and streaming resources without a manual ticket queue. - Drive platform stability projects — operator/version upgrades, root-cause fixes for recurring operational issues, and proactive capacity/cost optimization across the database and streaming fleet. - Act as the technical escalation point for cross-team incidents where the root cause traces back to shared data infrastructure (replication lag, connection exhaustion, CPU/throughput issues). - Represent Platform Storage in cross-org infrastructure initiatives and standardization efforts. - Mentor engineers and participate in on-call rotations. Qualifications - 8+ years of experience in platform, infrastructure, or database engineering, with deep hands-on production experience running PostgreSQL (RDS) at scale. - Strong experience operating Kafka (MSK or self-managed) in production, including topic management and CDC/event-streaming pipelines. - Strong SQL fluency — comfortable diagnosing query performance issues and reviewing schema changes for teams you don't sit inside of. - Infrastructure as Code expertise (Terraform). - Experience owning production database reliability across multiple downstream teams simultaneously — able to prioritize across a portfolio, not just one system. - Strong cross-team communicator; this role is equal parts infrastructure engineering and technical partnership with the teams you support. Nice to Have - Experience with GitOps-managed Kubernetes operators (Strimzi or equivalent) for stream infrastructure. - MongoDB or DynamoDB operational experience. - Experience with pgbouncer, connection pooling, and query-level performance diagnostics. - Prior work on platform cost optimization initiatives at multi-cluster scale. - Exposure to regulated or high-availability environments (gaming, fintech, or similar). Salary Range $172,800 — $216,000 USD For information about our benefits, please visit https://benefitsatfanatics.com/ . By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

• Architecture and development of scalable ETL/ELT processes and data pipelines on Databricks in the Azure Cloud • Data modeling and construction of lakehouse architectures (e.g., Delta Lake, medallion model, dimensional modeling) • Automation and optimization of data flows for performance, quality, and stability • Integration and transformation of data from a wide variety of sources into data warehouses or lakehouse environments • Implementation of best practices in data governance, monitoring, and security • Mentoring junior colleagues and actively contributing to our technical standards • Close collaboration with data scientists, analysts, and consultants to deliver data-driven solutions

• Manage and resolve platform tickets related to data infrastructure and user access. • Design and maintain IaC modules and templates using Terraform. • Develop and enhance CI/CD framework components to support data platform deployments. • Write and maintain SQL queries and scripts to support troubleshooting and automation. • Build Python utilities and scripts to integrate with deployment frameworks and tooling. • Configure and manage user ID personas, permissions, and role mappings for platform access. • Collaborate with data engineers and stakeholders to prioritize platform fixes and enhancements. • Document operational procedures, runbooks, and deployment patterns for the team.

• Extraer, limpiar, transformar y almacenar los datos requeridos para los casos de uso • Diseñar y gestionar pipelines de integración de datos • Desarrollar ETLs y herramientas de analítica avanzada de alta calidad • Monitorear la estabilidad y ejecutar controles de calidad del pipeline de datos • Optimizar costos, rendimiento y seguridad de la información