Sr. Data Architect

About Us

Founded in 1992 in Dover, NH, Planet Fitness is one of the largest and fastest-growing franchisors and operators of fitness centers in the United States by number of members and locations. We have over 2,700+ stores in 50 states, the District of Columbia, Puerto Rico, Canada, Panama, Mexico, Spain, and Australia. 90% of Planet Fitness stores are owned and operated by independent franchisees.

At Planet Fitness, our unique mission has always been to enhance people’s lives by providing a high-quality fitness experience in a welcoming, non-intimidating environment. And we’re proud of the amazing Planet Fitness team that supports our clubs and team members. They are comprised of dynamic, dedicated, and talented individuals who represent our values of integrity, transparency, passion, respect, and excellence (while having fun!)

in everything they do.

Joining the PF family means being part of a company that cares about bettering the health and wellbeing of our communities. It means being a part of a supportive, engaging workforce with an inclusive culture that values diversity and creates an environment where everyone can feel they belong. It means encouraging professional growth and development. It means making true, lasting connections with your co-workers with celebrations, team building activities and engaging corporate events!

It means creating a positive impact in our local communities through our Judgement Free Generation® philanthropic initiative. It means being part of a brand that you can be proud of!

For the past 30 years, we’ve helped millions of people in their fitness journey and revolutionized the industry along the way. And we’re just getting started!

The Sr. Data Architect will be responsible for creating and maintaining a scalable enterprise data architecture at Planet Fitness. The Sr. Data Architect will facilitate the development of data modeling standards, guidelines, and techniques. The Sr. Data Architect will collaborate across the data engineering, business intelligence engineering, and data governance teams to ensure data architecture is consistent and adhere to defined policies and standards.

This role will also collaborate with the broader technology organization to implement data management best practices and improve data quality at the source of truth/system of record.

This role is expected to follow our hybrid work schedule and will based out of our Hampton, NH office.

• Creates and maintains data architecture designs that support business and technical requirements for high-quality, performant data solutions.
• Implements data modeling standards and ensures adherence within data management solutions.
• Researches and recommends tools and services to improve data management processes and support architectural standards and patterns.
• Participates in data solution prototyping initiatives.
• Creates and maintains documentation related to data architecture standards, protocols, and frameworks.
• Implements culture of continuous improvement of data architecture approaches to align to best practices and data management technology evolution.
• Fosters environment of continuous learning, maintain current knowledge of emerging technologies and industry trends, and present ideas for innovation.
• Performs analytical exploration and examination of data from multiple data sources.
• Participates in enforcing data quality and governance best practices in the data platform.
• Works with a multi-disciplinary team consisting of data analysts, data engineers, developers and data consumers in an agile, fast-paced environment.
• Works with and supports a team that is globally located.
• Participates in review processes that involve architecture, design and quality assurance to preemptively identify conflicts and ensure consistency of implementation.
• Ensures strict adherence to documentation best practices and change control processes.
• Performs other duties as assigned.

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Information Systems or a related field
• 10+ years of direct experience in Big Data, Data Warehousing, Data Analytics, and/or Information…