Data Architect

TMRW Sports Inc • Orlando, FL

12d

About The Position

Reporting to the Chief Architect, Technology, the Data Architect will design, build, and govern the TMRW Lakehouse, a shared data foundation and central data library supporting competition, broadcast, fan engagement, ticketing, match-night reporting, sponsorship analytics, and league operations across TMRW Sports properties. The role will consolidate fragmented vendor and league data into a unified, governed platform, establish repeatable integration patterns for new vendors and properties, and lay the groundwork for AI/ML, AI data analyst agents, self-service analytics, and a unified fan view.

This is a hands-on builder-architect position. The Data Architect will set technical standards for data modeling, governance, security, and privacy; work with vendors on APIs, schema versioning, and service-level agreements; and contribute directly to the modern data stack alongside a lean in-house data engineering team and consulting partners. The position includes occasional travel to venues during build phases and live competition windows.

Requirements

• 10+ years of data engineering or data architecture experience, including 3+ years in a lead or architect role.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical field.
• Hands-on production experience building on consumption-based platforms, including medallion-style data organization and modern transformation and orchestration tooling.
• Strong foundation in dimensional modeling; data vault familiarity is a plus.
• Cloud fluency in AWS, including streaming and event-driven patterns.
• Demonstrated experience integrating fragmented data across multiple SaaS and vendor platforms and establishing repeatable onboarding patterns.
• Demonstrated experience establishing data governance with business data owners and stewards, including shared definitions, metric catalogs, lineage, and PII/privacy controls.
• Experience leading delivery through a lean in-house team and consulting partners, setting technical direction, reviewing partner work, and managing scope and cost.
• Experience designing semantic models and self-service BI adopted by non-technical users.

Nice To Haves

• Experience in sports, sports media, sports betting/integrity, or live-event environments where reliability on a fixed schedule is critical.
• Hands-on experience enabling ML/AI workloads, including feature stores, vector databases, RAG, agentic AI/LLM analytics agents, MCP-style tool integration, AI-assisted data engineering, and modern MLOps tooling.
• Experience with master data management, composable warehouse-native CDPs, reverse ETL, and third-party data enrichment.
• Experience in a startup or zero-to-one environment where the data platform is being built rather than maintained.
• Ability to explain complex data concepts in plain language and adapt communication to different audiences.
• Ability to balance hands-on work with empowering others, build plans amid uncertainty, adapt to new information, collaborate across stakeholders, and maintain team morale.
• A product-oriented approach to data, prioritizing by business value, measuring adoption, and retiring unused reports.

Responsibilities

• Own the architecture and day-to-day delivery of the TMRW Lakehouse, organized as a governed medallion architecture for analytics, ML, and operational use cases.
• Manage the data-source onboarding roadmap with domain data owners, prioritizing sources, definitions, and reports by business value and delivering against gated milestones.
• Define standardized batch, streaming, and change data capture integration patterns for vendor systems, third-party feeds, and TMRW Sports properties.
• Design and maintain the canonical data model, semantic layer, and metric catalog for consistent views of fans, athletes, partners, and competition across leagues.
• Modernize legacy point-to-point integrations and spreadsheet-driven reporting through automated ELT pipelines and event-driven streaming where real-time data is needed.
• Manage data-stack economics, including consumption-based spend, platform licenses, and consulting-partner capacity, and identify opportunities to reduce external agency and software costs.
• Consolidate fragmented data from competition systems, ticketing, customer data, point-of-sale, sponsorship measurement, broadcast/OTT, and digital products into a single source of truth.
• Build identity resolution and fan intelligence capabilities for marketing, ticketing, partnership activation, and league operations.
• Incorporate third-party data augmentation and establish rules for validating, governing, and reconciling external attributes with first-party data.
• Evaluate, select, and onboard third-party data providers and feeds; work with vendors on APIs, schema versioning, data quality, SLAs, and delivery against agreed data dictionaries.
• Govern data contracts, data-quality checks, and pipeline monitoring between producer systems and downstream consumers.
• Establish and enforce governance covering cataloging, lineage, role-based access, PII handling, consent and preferences, and GDPR/CCPA compliance in a multi-league, multi-tenant environment.
• Operationalize the hub-and-spoke data operating model, supporting shared business definitions, KPI and metric calculations, and a searchable data catalog.
• Enable AI/ML and agentic AI use cases by designing semantic and agent-connectivity layers, feature stores, vector/embedding infrastructure, and RAG/LLM patterns.
• Partner with security, legal, and privacy teams on data classification, masking, and access policies across leagues, partners, and rights holders.
• Partner with enterprise Analytics & Insights and embedded league analysts to deliver BI platforms, semantic models, and governed datasets for trusted self-service analytics, and drive adoption of dashboards over manual reporting.
• Improve organizational data literacy through enablement, documentation, and common tooling.
• Translate business problems from ticketing, marketing, partnerships, competition, and broadcast teams into well-owned data products.
• Align with cross-TMRW Sports architectures and leverage common solutions across properties.
• Communicate status, risks, tradeoffs, decisions, and delivered business value to executive leadership.
• Occasionally travel to venues during build phases and live competition windows.

Benefits

• Equity ownership opportunities to share in the company’s growth.
• Unlimited discretionary time off and 15 paid holidays per year, including the week of Independence Day.
• Comprehensive health insurance options, including an employee coverage option with a 100% company contribution.
• Additional employee and family insurance coverage options with company contributions, including dental and vision.
• FSA, HSA, and DCHSA opportunities, including contribution matches.
• Retirement options, including traditional 401(k) and Roth IRA plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior