Senior Principal Data Architect

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Logo of ABC Fitness

ABC Fitness

1001 - 5000 employees

☁️ SaaS

⚕️ Healthcare Insurance

🧘 Wellness

SaaS • Healthcare Insurance • Wellness

ABC Fitness is a leading tech provider specializing in software solutions for gym and fitness businesses worldwide. With a suite of platforms including gym management, member management, and personal training solutions, ABC Fitness empowers businesses of all sizes to optimize operations, engage members, and drive growth. Their solutions are designed to cater to a wide range of fitness business models, from large gyms to boutique studios and personal trainers, ensuring they meet the unique needs of their users.

📋 Description

• Define and maintain enterprise data architecture strategy for data acquisition, archive recovery, and database implementation • Design scalable and secure data models, data flows, and integration patterns across AWS and the Databricks Lakehouse ecosystem • Align data architecture with business objectives and IT strategy • Establish data governance frameworks and best practices • Ensure data quality, consistency, regulatory compliance, metadata management, and documentation • Communicate architecture strategies, decisions, and best practices to stakeholders • Provide technical leadership and mentorship to data teams • Supervise and review contractors and third-party resources • Evaluate and recommend data technologies, tools, and platforms • Leverage generative AI tools for code generation, data modeling, and documentation • Lead data architecture efforts in large-scale projects and digital transformations • Personally design and build data models and pipelines to set technical standards • Ensure data solutions are delivered on time, within scope, and to quality standards

🎯 Requirements

• 10+ years of data engineering or data architecture experience • Bachelor's degree in computer science, Information Technology, or a related field • Experience with data profiling, sourcing, cleansing, standardization, transformation, rationalization, linking, and matching • Proven experience designing and implementing data models and warehouses using dimensional/star schema, Data Vault, or Kimball methodologies • In-depth understanding of database structures and experience with different databases and data warehouse technologies • Knowledge of data mining and segmentation techniques • Proficiency in SQL and Python • Hands-on experience with Databricks Workflows, AWS Glue, and/or Apache Airflow • Experience building data models and dashboards using Databricks SQL and/or Power BI • Deep hands-on experience with Databricks Lakehouse Platform, Delta Lake, Unity Catalog, and Databricks SQL • Extensive knowledge of AWS services including S3, EMR, EKS, Glue, Redshift, and Lambda • Ability to work with remote teams across multiple time zones and in an Agile environment • Ability to mentor data engineers at all levels • Proactive use of generative AI tools for data modeling, coding, and documentation • Ability to communicate project updates, issues, and deliverables to management and stakeholders

🏖️ Benefits

• Open PTO policy • Days of Disconnect: one collective day off once a quarter • Parental & Pawternity Leave • Quarterly Best Life fitness reimbursement • Medical/Dental/Vision coverage • Employee Assistance Program (EAP) • Calm App subscription for the employee and up to 4 dependents over age 16 • Bonuses, commissions, equity, or other incentive programs may be offered where applicable • Ongoing training and professional development opportunities

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