Sr. Data Engineer

Versant•Orlando, FL

5d•Remote

About The Position

As a Senior Data Engineer, you will help lead the design, evolution, and reliability of the data platform supporting GolfNow and the broader sports technology ecosystem. You will shape data architecture, influence technical direction, and build scalable, high-quality data systems that enable analytics, reporting, and product innovation. Working at the intersection of sports, media, and technology, you will partner closely with engineering, product, analytics, and business stakeholders to translate complex needs into durable data solutions. You will also help establish engineering standards, improve data quality and governance, and mentor other engineers across the team. Data is foundational to how we understand our customers, improve our products, and make informed business decisions. In this role, you will help turn data into a strategic asset by strengthening the platforms and practices that support decision-making, unlock new product capabilities, and serve athletes, fans, partners, and internal teams at scale. This is a fully remote role, with opportunities for intentional in-person collaboration approximately 10% of the time to support team connection, planning, and key initiatives.

Requirements

Significant experience in data engineering, including a demonstrated record of designing, building, and scaling data platforms in cloud environments; experience with AWS is strongly preferred.
Advanced proficiency in SQL and Python, including experience developing ETL/ELT pipelines and optimizing large-scale data systems.
Strong knowledge of modern data architecture, including data modeling, warehousing, orchestration, and distributed data processing concepts; experience with tools such as Airflow is valuable.
Hands-on experience with AWS technologies such as Glue, Lambda, and Step Functions, as well as infrastructure-as-code tools such as Terraform.
Proven ability to influence technical direction, evaluate architectural trade-offs, and collaborate across teams to deliver meaningful business and product outcomes.
Experience mentoring engineers and contributing to strong engineering standards, practices, and culture.
Trust: Take ownership of critical data systems, make sound technical decisions, and consistently deliver reliable, high-quality solutions.
Teamwork: Collaborate across engineering, product, analytics, and business teams to create solutions that support shared goals.
Transparency: Communicate clearly about technical trade-offs, risks, progress, data integrity, and decisions.
Agility: Adapt effectively as technologies, priorities, and business needs evolve while maintaining focus on quality and impact.
Entrepreneurial Spirit: Proactively identify opportunities to innovate, simplify systems, improve processes, and expand how data creates value for the business.

Nice To Haves

Experience with one or more of the following would be beneficial:
SSIS, PowerShell, or SSRS
Tableau, Power BI, or similar business intelligence tools
Agile development environments and collaboration tools such as Jira or Confluence

Responsibilities

Architect, build, and evolve scalable data pipelines and platforms across AWS and Microsoft technology ecosystems.
Design data models, warehouse structures, and orchestration patterns that support analytics, product insights, reporting, and business intelligence.
Establish and continuously improve standards for data quality, governance, reliability, observability, performance, and scalability across the data lifecycle.
Partner with engineering, product, analytics, and business stakeholders to define data strategy and translate complex business requirements into effective technical solutions.
Mentor and guide data engineers, helping strengthen engineering practices, technical decision-making, and team capabilities.
Evaluate and implement new tools, frameworks, and approaches that improve the reliability, efficiency, and scalability of data operations.