Role Description The Senior Enterprise Data Architect will be responsible for designing and implementing solutions within Business Intelligence and Data Management software and hardware to meet business requests. The ideal candidate should be able to create data solutions leveraging Master Data Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct leadership of the Senior Manager for Enterprise Data Architecture. Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required. - Must be self-motivated and able to work independently while consistently meeting deadlines. - Strong business and technical verbal and written communication skills. - Experience creating metrics and dashboard analytics. - Strong working knowledge of different analysis tools and techniques. - Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects. - Strong SQL skills. Functions Performed This individual may be asked to solely perform these functions or may choose to delegate some of these functions to other members of their team, per agreement with the Senior Manager for Enterprise Data Architecture. Ultimately, responsibility for ensuring that the functions are performed rests with this position. - Architect and design business intelligence solutions for accessing and analyzing data and metadata. - Experience with Enterprise Data Warehouse (EDW), Data Mart, and Operational Data Store (ODS) architectures. - Expertise in data modeling, including star, snowflake, and other dimensional modeling techniques. - Experience architecting and developing database solutions using both OLAP and OLTP technologies. - Extensive experience in architecture, data modeling, design, development, data migration, and data integration throughout the Software Development Life Cycle (SDLC). - Participate in and/or lead design sessions, demonstrations, prototype sessions, testing, and training workshops with business users and IT associates. - Develop and maintain technical documentation. - Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data Management.

• Partner directly with business stakeholders to deeply understand analytics needs and pipeline requirements. • Translate complex stakeholder requirements into practical, detailed technical engineering documentation. • Assess existing data architectures and define optimal strategies and methodologies for delivering high-value business insights. • Identify and execute critical data transformations to refine raw data into optimized, production-ready datasets and deliverables. • Gather, model, and aggregate large and complex datasets that meet functional and non-functional enterprise requirements. • Design, build, and optimize complex SQL queries and scalable data pipelines for end-user analytics. • Develop intuitive reports, data visualizations, and interactive dashboards for end users. • Conduct deep-dive root cause analysis on internal/external data sources and pipeline processes to detect anomalies, resolve issues, and drive continuous performance improvements. • Design, build, and deploy scalable data warehousing solutions using Snowflake or equivalent modern cloud platforms.

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