This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Staff Software Engineer on the Streaming Data Platform team in Fanatics Ecosystem, you will design, build, and operate the backend services that sit at the core of our streaming infrastructure — the systems that ingest, process, and deliver data to consumers across the company. This is a hands-on technical leadership role. You'll write code, design systems, mentor engineers, and shape how the team builds and operates software. The right person has built streaming infrastructure before and knows what it takes to keep it running well at scale. Responsibilities - Design and build backend services that power our streaming data infrastructure, including ingestion, processing, and delivery to downstream systems. - Drive large, multi-milestone projects from idea to production, ensuring they deliver outcomes that matter to the business. - Set technical direction for the team: architecture, code quality, patterns, and tooling. - Partner with leadership on roadmap and planning — you'll have a voice in what we build and why. - Collaborate with platform, data, and product teams to design service boundaries, APIs, and data contracts. - Own the test strategy for complex areas and push the team toward better testing habits and testable designs. - Build observability, reliability, and resilience into our systems and hold the team to that standard. - Coordinate across engineers and teams to deliver cross-cutting initiatives. - Help diagnose and resolve performance bottlenecks related to ingestion, throughput, and distributed system behavior. - Mentor engineers on craft, ownership, and collaboration. - Participate in on-call rotations, drive incident resolution, and make sure retros lead to lasting fixes. - Be open to occasional travel to Fanatics offices for meetings, events, or team gatherings. Technical Environment - Long-lived backend services (Go) - Event-driven and streaming data systems (Kafka, Kafka Connect) - Stream processing frameworks (e.g., Kafka Streams, Flink) - Schema management and data contracts - Observability and monitoring for streaming systems - Infrastructure as code (Terraform) Qualifications - 7+ years of experience building and operating backend services at scale, with a track record of leading large technical initiatives. - Strong experience with Go. - Hands-on experience with Kafka or comparable streaming platforms. - Familiarity with the broader streaming ecosystem — tools like Flink, Spark, or Iceberg. - Ability to design whole systems and services with clear boundaries, well-defined APIs, and operational readiness from the start. - Experience driving multi-milestone projects that span teams and require cross-functional coordination. - Track record of influencing technical roadmaps and connecting engineering work to business strategy. - History of mentoring engineers and raising the level of engineering practice around you. - Solid understanding of distributed systems, service-oriented architectures, and system integrations at scale. - Clear communicator who can talk about technical work with both engineers and non-engineers. - Comfortable in a fast-moving environment where priorities shift and decisions happen quickly. - Experience with schema management, data contracts, or data governance patterns is a plus. - Experience building shared libraries, frameworks, or developer-facing tooling for streaming consumers is a plus. - Experience contributing to open-source data infrastructure or streaming projects is a plus. - Familiarity with infrastructure as code tools such as Terraform is a plus. Salary Range The salary range for this position is $180,500 to $237,500, which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. Remote employees may also be eligible for a home office setup stipend. Company Description Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. - Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. - Collect physical and digital trading cards, sports memorabilia, and other digital assets. - Bet as the company builds its Sportsbook and iGaming platform. - Fanatics has an established database of over 100 million global sports fans. - A global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences, and retail partners. - Over 2,000 retail locations, including its Lids retail stores. - More than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

Role Description We are seeking a skilled and motivated Data Governance Specialist to play a critical role in establishing and maintaining the integrity, quality, and security of data within our Digital Engineering Environment. This role will be instrumental in supporting our Digital Thread initiative, focusing specifically on the governance of digital thread configuration data and related data that flows through the lifecycle of our products. The ideal candidate will possess a strong understanding of data governance principles, experience digital engineering principles, and a passion for ensuring data is a trusted asset. You will work closely with Engineering, IT, and other stakeholders to define, implement, and enforce data governance policies and procedures. - Data Governance Framework Development: Assist in the development, implementation, and ongoing maintenance of a comprehensive data governance framework for Digital Engineering data, aligned with industry best practices (e.g., DAMA-DMBOK). - Digital Thread Data Focus: Specifically focus on data governance relating to the Digital Thread – ensuring traceability, consistency, and accuracy of data as it moves through design, analysis, manufacturing, and support. - Data Governance: Collaborate with cross-functional teams to establish and enforce data governance policies, procedures, and standards that ensure data quality, security, and compliance. - Metadata Management: Define and maintain metadata standards to ensure data is discoverable, understandable, and usable. Contribute to the development of a data dictionary/catalog. - Tool Implementation and Management: Work with our technical teams to implement and manage data quality tools, prior experience of one of the major tools is a plus (Attacama, Precisely, Anomalo, Collibra). - Data Quality Monitoring and Reporting: Develop and execute data quality monitoring processes to identify, assess, and mitigate data quality issues. Provide regular reporting to stakeholders on data quality metrics and trends. - Data Quality Assessments: Conduct regular data quality assessments to identify areas for improvement and provide recommendations for data quality enhancements. - Data Incident Management: Participate in data incident management processes to identify, contain, and resolve data quality issues. - Stakeholder Collaboration: Work closely with stakeholders across the organization to understand data quality requirements, provide training, and ensure data quality best practices are adopted. - Continuous Improvement: Stay up-to-date with industry trends, best practices, and emerging technologies to continuously improve our data quality framework and processes. Qualifications - Bachelor's degree in a related field (e.g., Computer Science, Information Technology, Business Administration) and 6 years of experience in data governance, data management, or a related field. - Strong understanding of data governance principles and practices. - Familiarity with Data Catalog Tools (e.g., Alation, Collibra) and Master Data Management (MDM) Methodology and tools (e.g., Semarchy, Information, Profisee). - Experience with data quality assessment frameworks and metrics. - Ability to work with cross-functional teams and stakeholders. - Familiarity with data security and privacy regulations. - Proficiency in data quality tools (e.g., Attacama, Collibra, Precisely, and Anomalo). Requirements - Master's degree in a related field (e.g., Computer Science, Information Technology, Business Administration). - Over 10 years of experience in data governance, data management, or a related field. - Advanced knowledge of data governance frameworks and standards (e.g., DAMA, ISO 27001). - Experience with data governance tools and technologies (e.g., data catalogs, data quality software). - Certification in data governance or a related field (e.g., Certified Data Governance Specialist, Certified Data Management Professional). - Experience with Data Modeling Concepts. - Experience with Digital Engineering Concepts (e.g., data management relative to digital threads and authoritative sources of truth). - Experience with project management and oversight of related projects. Benefits - This position will be posted for at least 5 calendar days. - The posting will remain active until the position is filled, or a qualified pool of candidates is identified. - Active Secret Security Clearance.

- Design, build, and maintain data pipelines connecting internal systems to the organisation’s Delta Lake environment - Develop and optimise SQL-based data transformations and relational data models to support analytics and reporting - Integrate new data sources and systems into the data platform as the organisation expands its technology landscape - Work with engineering teams to ensure reliable, scalable, and well-structured data flows across systems - Support the development of data architecture and data models that enable new business metrics and analytical capabilities - Monitor, troubleshoot, and improve existing pipelines to ensure data accuracy, performance, and reliability - Contribute to documentation, data standards, and best practices across the engineering team - Collaborate with stakeholders to ensure data pipelines support evolving business requirements

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the chance to design, build, and maintain advanced data platforms that power analytics, machine learning, and mission-critical operations. The Data Engineer will collaborate closely with cross-functional teams to implement scalable, reliable, and high-performance data solutions. You will work on modern cloud architectures, develop robust ELT pipelines, and ensure data quality, integrity, and governance across the organization. Your work will directly impact business operations and the delivery of essential services, with opportunities to optimize processes, innovate with AI, and advance your technical expertise in a dynamic, remote-friendly environment. - Design, develop, and maintain scalable data platforms supporting analytics, machine learning, and operational systems. - Build and optimize ELT workflows, data models, and distributed processing jobs using cloud-native tools and modern technologies. - Implement best practices for data quality, integrity, lineage, governance, performance, and reliability across pipelines and platforms. - Establish monitoring, alerting, and SLAs for mission-critical data services with observability standards. - Identify and resolve performance bottlenecks to ensure efficient, cost-effective data processing. - Collaborate with engineering, product, operations, and customer success teams to deliver reliable and actionable data insights. - Execute other tasks as assigned to support organizational goals and project success. Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. - 2+ years of software and data engineering experience, with expertise in distributed data processing and data-intensive applications. - 1+ years of experience implementing and maintaining reporting and analytics tools such as Tableau, Power BI, or DOMO. - Proficiency in Python, SQL, query and database optimization, data pipelines, and data modeling. - Experience with cloud platforms (AWS, Azure, GCP) and modern data warehousing technologies (Snowflake, BigQuery, Redshift). - Knowledge of privacy, security, and regulatory best practices in data management. - Excellent communication, collaboration, and problem-solving skills. - Desired: experience in healthcare technology (EHR, HL7/FHIR) or regulated industries and product development. - Willingness to responsibly explore AI tools to enhance productivity and innovation. Benefits - Competitive base salary ($105,000–115,000/yr) with potential variable compensation. - Health, dental, and vision plans, along with company-paid holidays and PTO. - 401K retirement program with company match and other sponsored programs. - Remote-first work environment within EST or CST time zones. - Opportunities for professional growth and cross-functional collaboration. - Exposure to cutting-edge cloud, analytics, and AI technologies in a fast-paced environment.