Manager, Data Engineering - NBC Sports Next

Company Description

NBC Sports Next is where sports and technology intersect. We’re a subdivision of NBC Sports and home to all NBCUniversal digital applications in sports and technology within our three groups: Youth & Recreational Sports; Golf; and Betting, Gaming & Emerging Media.

At NBC Sports Next, we make playing sports better through innovative technology and immersive experiences for athletes, coaches, players and fans. We equip more than 30MM players, coaches, athletes, sports administrators and fans in 40 countries with more than 25 sports solution products, including SportsEngine, the largest youth sports club, league and team management platform; GolfNow, the leading online tee time marketplace and provider of golf course operations technology; GolfPass the ultimate golf membership that connects golfers to exclusive content, tee time credits, and coaching, tips; TeamUnify, swim team management services; GoMotion, sports and fitness business software solutions; and NBC Sports Edge, a leading platform for fantasy sports information and betting-focused tools.

At NBC Sports Next we’re fueled by our mission to innovate, create larger-than-life events and connect with sports fans through technology that provides the ultimate in immersive experiences.

Golf fuses the team behind products and services like GolfNow, TeeOff and GolfPass, which better connects golfers and golf facilities around the world through innovative solutions like cloud-based golf course management and SmartPlay contactless technology and services that create optimum golfing experiences.

Come join us as we work together as one team to innovate and deliver what’s Next.

Job Description

JOB SUMMARY: Manager of Data Engineering role is responsible for all aspects of NBC Sports Next data platform, data integration, and data analytics. The role will be hands-on and will be responsible for managing direct reports, help the business drive data-driven decisions, and solving business opportunities through data. This role will be leading improvements of existing data solutions and development of new solutions by scoping, implementing, and testing in order to address business requirements.

KEY RESPONSIBILITIES:

• Act as a company-wide consultant leveraging knowledge of existing data structures and business knowledge to solve problems
• Own the vision for analytical systems (or subsystems), be accountable for integrating these systems into existing business process and software, and design and maintain the consolidated product roadmap for future ongoing evolution of these systems
• Be an expert in the data, including source systems, design data integration solutions, data validation, and data testing processes
• Be an expert in our applications, understand how our systems and applications receive data, how it is stored and used, and the underlying processes that leverage it
• Be a problem solver, when presented with new challenges, you are expected to research and network to find solutions
• Be a hands-on data expert who writes new/custom SQL and Python to extract, translate, and load data (ETL/ELT)
• Seek out answers to business problems, and look for opportunities to automate processes
• Collaborate with partners, App Engineering, Decision Science, Finance, Revenue Management, Marketing, and Sales throughout the development process to ensure solutions are built cohesively and meet requirements
• Proactivity communicates with technical and non-technical stakeholders, seek to learn, and understand, and potentially challenge existing processes in order to continuously seek improvement efficiencies
• Hands-on managing data engineers, and analytical teams
• Hands-on with database design, and architecture methodologies and development life cycle

Qualifications

All candidates must meet the following minimum qualifications:

• 3+ years of complex experience in software or data engineering
• 3+ years of experience with Python/Powershell
• 3+ years of experience with MSSQL
• 3+ years of experience with cloud-based technologies preferable AWS EC2, S3, Redshift, RDS, Snowflake
• 3+ years of experience with designing, building relational databases (preferably MSSQL, Redshift
• 3 + years of experience with GitHub and Git flow
• 3+ years of experience with data pipeline platforms like Apache Airflow, SSIS, TalendD, Informatica
• Strong understanding of analytical data tiers like MSSQL, Redshift, Snowflake
• Strong understanding of transactional data tiers like MSSQL, MYSQL, PostgresSql, MongoDB
• Proficient in a variety of data science methods, scalable infrastructure setup, software development, and system architecture
• Proven ability to leverage best practices around data engine