Sr. Manager, Data Engineering | Full-Time | Denver Tech Center

• Bachelor’s degree in computer science, engineering, or a related field.
• 4-6+ years of data engineering experience.
• Ability to manage a small team while remaining hands-on.
• Proficient in data engineering tools, ETL processes, APIs, and data warehousing, with a proven ability to develop and manage efficient data pipelines.
• Familiarity with Azure cloud services, showcasing the ability to utilize Azure’s data services to create scalable and secure data solutions.
• Effective collaboration with analytics, business intelligence, and IT teams to align data solutions with organizational objectives.
• Experience with data governance, security practices, and compliance regulations.
• Demonstrated experience in balancing multiple projects simultaneously, with a track record of meeting deadlines and business goals.
• Strong communication skills, with the ability to translate technical concepts into business impact.

This role pays an annual salary of $150,000 and is bonus eligible. Benefits for Full-Time roles: Health, Dental and Vision Insurance, 401(k) Savings Plan, 401(k) matching, and Paid Time Off (vacation days, sick days, and 11 holidays) This position will remain open until November 6, 2026. Responsibilities:

• Architect, develop, and optimize data pipelines, databases, and analytics platforms within Azure to support business intelligence, data science, and operational applications.
• Lead and manage a team of 1-3 data engineers, providing mentorship, technical guidance, and performance management to drive high-quality execution and career development.
• Own the data engineering roadmap, prioritizing integrations, platform enhancements, and scalability initiatives aligned with business goals.
• Collaborate with stakeholders across the organization to understand data needs, deliver solutions that drive business value, and align efforts with the company’s strategic objectives.
• Implement and scale agile data engineering practices, adapting to business shifts and technological advancements with flexibility and foresight.
• Champion a culture of data-driven decision-making, ensuring data quality, governance, and security standards are upheld.
• Establish best practices for code quality, data modeling, testing, and deployment, improving the reliability and maintainability of the data platform.
• Foster and manage relationships with external partners and vendors, ensuring seamless integration of their services and technologies into our data infrastructure to enhance our capabilities and drive innovation.

Oak View Group (OVG) is the global leader in premium live entertainment infrastructure and services, with a platform spanning venue development and end-to-end capabilities across venue management, hospitality, and sponsorship sales. Founded in 2015, the company serves a collection of seven world-class owned venues and a client roster of the most iconic arenas, stadiums, convention centers, music festivals, performing arts centers, and cultural institutions, spanning four continents. Overview, Strengthened by our Differences. United to Make a Difference: At OVG, we understand that to continue positively disrupting the sports and live entertainment industry, we need a diverse team to help us do it. We also believe that inclusivity drives innovation, strengthens our people, improves our service, and raises our excellence. Our success is rooted in creating environments that reflect and celebrate the diverse communities in which we operate and serve, and this is the reason we are committed to amplifying voices from all different backgrounds. Equal Opportunity Employer: Oak View Group is committed to equal employment opportunity. We will not discriminate against employees or applicants for employment on any legally recognized basis (“protected class”) including, but not limited to veteran status, uniform service member status, race, color, religion, sex, national origin, age, physical or mental disability, genetic information or any other protected class under federal, state, or local law.