Senior Principal Data Architect

ABC Financial Services•St. David's, ON

22h•$170,000 - $180,000•Remote

About The Position

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.

Requirements

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 Databricks SQL and/or Power BI
Deep, hands-on experience with the Databricks Lakehouse Platform, including Delta Lake, Unity Catalog, and Databricks SQL
Extensive working knowledge of AWS services including S3, EMR, EKS, Glue, Redshift, and Lambda
Structured thinking with the ability to break down ambiguous problems and propose impactful data modeling designs
Strong leadership, problem-solving, and decision-making skills
Ability to use data to inform decision making and drive outcomes
Ability to understand, document and convert business requirements into data models
Ability to work effectively with a remote team across multiple time zones, and in an Agile environment
Ability to mentor and develop data engineers at all levels
Driven and self-motivated with excellent organizational skills
Genuine passion about technology and solving data problems
Comfortable learning innovative technologies and systems
Proactive in leveraging generative AI tools to accelerate data modeling, coding, and documentation work
Proven ability to proactively communicate and facilitate updates for ongoing projects, issues, and major deliverables to management and other stakeholders.

Responsibilities

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.
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.
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.
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.
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.