Senior Data Engineer - Self Esteem Brands
Woodbury, MN 55125
About the Job
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.
NOTE: This position is a Hybrid position, coming into the Woodbury, MN office every week on Tuesday and Thursdays. Our first priority candidates will be current local residents, able to do the hybrid work week immediately.
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 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)
- Architect and refine our Databricks-centric data platform, emphasizing scalable integrations and advanced entity resolution strategies.
- Lead the charge towards a data mesh infrastructure, promoting domain-centric design and decentralized data management.
- Enhance our DataOps capabilities, emphasizing data observability, discovery, and lineage to maintain data integrity and accuracy.
- Pioneer the adoption of Databricks data lakehouse architectures, focused on simplifying data management and enhancing data processing capabilities.
- Serve as a technical liaison among analytics engineers, BI developers, and analysts within the Databricks environment, integrating solutions like Segment.io.
- Mentor junior data engineers, instilling best practices in Databricks and techniques for sophisticated data processing and entity resolution.
- Develop and optimize SQL and Python/Scala scripts within Databricks for complex data transformation and integration tasks.
- Work closely with cross-functional teams to align data strategies with operational needs and objectives, incorporating advanced data resolution methodologies.
- Stay at the forefront of industry trends and technological advancements to ensure our Databricks platform remains innovative and effective.
Strengths and Background:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Strong leadership skills and the ability to advocate for best practices in data management and processing.
- 5+ years of experience in a data engineering role, with history of implementing data platform modernization
- Must have 2+ years of hands on databricks experience.
- In-depth understanding of Databricks, along with experience in other cloud data warehouses like Snowflake, Redshift, Big Query.
- Building data integration and orchestration within the databricks environment, with hands-on experience in technologies such as Delta Live Tables, CDC, dbt, airflow, Segment.io.
- Advanced skills in SQL, Python, and Scala, with an emphasis on their application within Databricks for complex data tasks.
- Knowledge of best practices in version control and CI/CD with Git and GitHub Actions; Agile project management with Jira and Confluence.
- Proficiency with the Azure data suite (Azure SQL, Data Factory, Synapse Analytics, Power BI).
- Solid understanding of data observability, discovery, and lineage, and their application in maintaining high data quality standards.
- Additional experience with AI and ML capabilities in the context of Databricks is a plus.
What’s in it for you:
- Medical, Dental and Vision Coverage
- Unlimited Time off & Fridays off Memorial Day to Labor Day
- 401(K) Savings Plan
- Paid Parental Leave
- Coaching & Therapy Sessions
- Brand Discounts & Reimbursements
- Professional Development Opportunities