Senior Data Engineer

Self Esteem Brands, LLC, parent company of Anytime Fitness, Waxing the City, Basecamp Fitness, The Bar Method, and Stronger U, is seeking an experienced and passionate professional to join our talented team as a Senior Data Engineer. At Self Esteem Brands, we offer a fun, fast growing, inspirational culture that incorporates a flexible, hybrid work schedule.
Job Summary
Self Esteem Brands is at the forefront of a digital transformation. We're not just evolving; we're revolutionizing our data infrastructure. Our goal? A modernized data platform that is more than "the data warehouse" and embodies principles of a data mesh culture to better serve our internal and global customers. We are looking for a visionary Senior Data Engineer, someone well-versed in data platforms such as Databricks or Snowflake, cloud environments (preferably azure) and and keen to lead this transformative journey as we look to enhance our capabilities to support our multi-brand, global organization that incorporates many different sources, velocities and volumes of data
Purpose/Impact: (Duties & Essential Functions)

1. Spearhead and evolve the design, execution and technology selection of our data platform to enable simple onramp and consumption of our data assets.
2. Champion the transition to a data mesh culture, promoting domain-oriented design and decentralized data ownership.
3. Lead initiatives to evolve our Data Operations/Observability, Discovery, and Lineage practices, becoming a champion for data transparency and accuracy.
4. Drive exploration and potential implementation of data lakehouse architectures, focusing on simplifying management and addressing core data concerns.
5. Be a advocate for the data platform and a conduit with analytic engineers, analysts, bi developers.
6. Mentor and nurture junior Data Engineers, guiding them towards best practices.
7. Develop bespoke SQL-based data solutions, tailored for a decentralized data environment.
8. Engage with cross-functional domain teams, ensuring their needs are central to our data strategies.
9. Keep abreast of industry shifts and emerging technologies, ensuring our data platform remains cutting-edge.

1. Bachelor's Degree in Computer Science, Engineering, or related experience.
2. 5+ years of experience in a Data Engineering role, with history of implementing data platform modernization.
3. Solid experience and understanding of architecting, designing, and operationalization of large-scale data and analytics solutions on Cloud Data Warehouses such as Snowflake, Databricks, Google BigQuery, or AWS Redshift is a must.
4. Experience with data integration, transformation and orchestration frameworks such as Airbyte, dbt, Fivetran, Segment or similar
5. Experience with Microsoft data stack (azure sql, azure data factory, synapse, power bi)
6. Advanced proficiency in SQL and familiarity with domain-oriented data design.
7. Expertise in programming languages such as Python, or Scala.
8. Use of tools such as Git, GitHub Actions, Agile, Jira and Confluence or similar
9. Familiarity with BI tools such as Tableau, PowerBI
10. Demonstrable expertise in data observability, discovery, and lineage methodologies.
11. Proven leadership capabilities and an evangelist for data mesh culture.
12. Experience with AI and ML platforms is a bonus.

• Medical, Dental and Vision Coverage
• 401(K) Savings Plan
• Paid Parental Leave
• Coaching & Therapy Sessions
• Brand Discounts & Reimbursements
• Professional Development Opportunities