Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from NBA NBA
WORK OPTION: Remote_________________
Position Summary
Join a high-performing Data Engineering team responsible for managing and optimizing both internal and external data sources, and for designing and building modern data warehouses. The team leverages leading technologies including Microsoft Azure and AWS cloud platforms, Databricks and Snowflake, and a robust ecosystem of tools such as Fivetran, Hightouch, DBT and Alation.
A strong emphasis is placed on the adoption of emerging AI technologies to enhance development efficiency and analytical capabilities. This includes tools such as Snowflake Cortex, Databricks Genie, GitHub Copilot, and Claude Code among others. The ideal candidate will be comfortable integrating AI into their workflow to accelerate the development of scalable data pipelines and analytics solutions.
This role requires a highly results-driven individual who thrives in a dynamic, fast-paced environment. The position demands versatility, initiative, and a proactive mindset. You will regularly collaborate with business stakeholders to translate requirements into actionable data solutions and insights, as well as partner with external vendors to ensure alignment and successful delivery.
Success in this role requires strong adaptability, the ability to quickly learn new technologies, and comfort navigating evolving priorities. The NBA environment is fast-moving, and candidates must be able to think critically, respond to change, and continuously upskill—particularly as AI capabilities rapidly evolve.
As a member of the Data Engineering team, you will be expected not only to leverage AI tools effectively, but also to remain agile as these technologies advance. Responsibilities will include developing data pipelines, as well as contributing to lightweight front-end solutions that enable business users to perform reporting and analytics.
You will play a key role in supporting the organization’s growth objectives by managing multiple initiatives simultaneously, contributing both independently and collaboratively across business and technical teams. The ideal candidate combines strategic thinking with hands-on execution, demonstrating an entrepreneurial mindset and a strong sense of ownership.
We are seeking a passionate data professional who embraces challenges and is committed to delivering high-quality solutions that drive value for internal stakeholders, while fostering a positive and collaborative team environment.
This position reports to the Data Engineering Team Lead.
Major Responsibilities
- Design, build, and maintain scalable, fault-tolerant batch and real-time data pipelines to support internal applications, operational workflows, and business intelligence platforms
- Leverage and advance AI-driven capabilities to enhance data pipeline development, deployment efficiency, and analytical insights
- Translate business requirements into high-impact data solutions that deliver value to both internal stakeholders and end users
- Collaborate closely with cross-functional partners to ensure requirements are clearly defined and successfully delivered; actively engage with end-user communities to gather feedback, address concerns, and recommend improvements
- Demonstrate strong technical expertise while contributing to the evolution of overall data and system architecture
- Support the implementation and adoption of the NBA’s Enterprise Data Architecture, ensuring alignment across functional teams, including Data Strategy, Marketing, Finance, HR, and others
- Provide technical guidance and insights during the design and development of complex, high-impact machine learning and data-driven applications across multiple business domains
- Ensure solutions align with enterprise architecture standards and effectively utilize approved enterprise platforms and tools
- Apply Agile methodologies, developing and delivering solutions in alignment with prioritized business needs and sprint objectives
- Develop and maintain data-driven applications that enable seamless integration with NBA partners and external systems
- Establish and promote best practices for data management, quality, and governance across the organization
- Drive continuous improvement of deliverables, development standards, and Software Development Life Cycle (SDLC) processes
Required Education/Professional Experience
- Bachelor’s or equivalent. Master’s Degree in Computer Science, Engineering, or Management of Info Systems/Technology preferred
- Advanced Education in Statistics or Mathematics would be a plus
- 3+ years building data warehouses using Snowflake
- Experience using Snowflake tools like Snowpipe and Snowpark
- 2+ years of experience using DBT to build data pipelines
- 3+ years of experience in developing Big Data and/or machine learning solutions
- 3+ Years of experience defining and/or designing data architectures
- 1+ years using AI development tools such as Github Copilot, Claude Code and others
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Source: NBA NBA careers