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 2,500+ stores in 50 states, the District of Columbia, Puerto Rico, Canada, Panama, Mexico, and Australia. More than 90% of Planet Fitness stores are owned and operated by independent business men and women.

 

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!

Overview

The Sr. Data Architect will be responsible for creating and maintaining a scalable enterprise data architecture at Planet Fitness.  In this role, you will facilitate the development of data modeling standards, guidelines, and techniques.  You will collaborate across the data engineering, business intelligence engineering, and data governance teams to ensure data architectures are consistent and adhere to defined policies and standards.  And as our Sr. Data Architect, you 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.

 

We are prioritizing candidates who are able to work in our Hampton, NH and future Boston, MA office. Remote candidates that currently reside in the Central or Eastern US time zones will also be considered.

Responsibilities

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

Qualifications

• 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 Management related projects
• 6+ years of direct experience in cloud data solution architectures, design and development including ETL, data warehousing, data lakes, and big data
• 5+ years of experience using SQL including development of stored procedures, functions, triggers and views
• 5+ years of direct experience with one or more database/data warehouse technologies (e.g., Oracle, MSSQL, MySQL, PostgreSQL, Had