Senior Principal Data Architect

Join ABC Fitness and become part of a culture that’s as ambitious as it is authentic. Let’s transform the future of fitness—together!
Our Values
Best Life

We believe great work begins with great people. That’s why our culture is built on respect, trust, and belonging. We create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact.
Growth Mindset

We are doers, thinkers, and dreamers. At ABC Fitness , your growth is our investment. Through continuous learning, mentorship, and professional development opportunities, we empower you to reach new heights—personally and professionally.
One Team

From day one, you’ll be part of a team that collaborates, celebrates, and cares. We move fast, support one another, and have fun along the way. Because when you thrive, we all thrive.
RESPONSIBILITIES:
- Strategic Data Architecture Design:

- 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 the AWS and Databricks Lakehouse ecosystem.

- Align data architecture with business objectives and IT strategy.

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Data Governance & Quality:
- Establish data governance frameworks and best practices.

- Ensure data quality, consistency, and compliance with regulations (e.g., GDPR).

- Ensure proper management and documentation of metadata, including data dictionaries, to support data discovery and understanding.

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Collaboration & Technical Leadership:
- Communicate data architecture strategies, decisions, and best practices to stakeholders at all levels, influencing their understanding and adoption.

- Provide technical leadership and mentorship to data teams

- Supervise and review the work of contractors and third-party resources to ensure alignment with architectural standards and quality expectations.

- Influence and advocate for data-driven decision-making across the organization.

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Technology & Innovation:
- Evaluate and recommend data technologies, tools, and platforms, with an emphasis on AWS-native services and the Databricks Lakehouse Platform (e.g., Delta Lake, Unity Catalog, Databricks SQL).

- Actively leverage generative AI tools (e.g., AI-assisted code generation, data modeling, and documentation) to accelerate delivery, in line with the company's expectation that technical staff incorporate Gen AI into their daily workflow.

- Stay current with industry trends and emerging technologies in data architecture and analytics.

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Project Oversight:
- Lead data architecture efforts in large-scale projects and digital transformations, personally hands-on in designing and building data models and pipelines to set the technical standard for the team.

- Ensure data solutions are delivered on time, within scope, and meet quality standards.

QUALIFICATIONS:

- 10+ years of data engineering or data architecture

- Bachelor's degree in computer science, Information Technology, or a related field

- Experienced in data engineering best practices including data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching

- Proven track record of designing and implementing data models and warehouses using modern data modeling methodologies (e.g., dimensional/star schema, Data Vault, Kimball) in a lakehouse environment

- In-depth understanding of database structure principles and experience working on different types of databases and data warehouse technologies

- Knowledge of data mining and segmentation techniques

- Proficient in SQL and Python, with the ability to translate complexity into efficient code

- Hands-on experience with Databricks Workflows, AWS Glue, and/or Apache Airflow for orchestrating data pipelines

- Building data models and dashboards using