Data Architect

Company Overview SiteOne Landscape Supply is the largest national distributor of landscaping products across the United States and Canada. As a leading supplier of wholesale goods for green industry professionals, we have a long history of serving those who design, build, and maintain outdoor spaces – from lawns and gardens to golf courses, sport fields and more. We pride ourselves on knowing our customers and their business better than anyone else and providing them with a one-stop shop of extensive inventory covering irrigation, lighting, turf and landscape maintenance, hardscapes, nursery, and pest control supplies.   At SiteOne, we are passionate about delivering an outstanding customer experience and will stop at nothing to help our customers win. We know that our associates are the key to this success, and our commitment to the SiteOne DNA and support for our associates through development programs, benefits, and perks align with our vision to "Be a Great Place to Work for Our Associates". We foster a culture of safety, teamwork, and continuous improvement. With over 700 locations and exciting expansion ahead, now is the perfect time to join SiteOne and grow Stronger Together™! Position Overview Join our team as a Data Architect responsible for designing, governing, and evolving our enterprise data architecture to ensure consistent, scalable, and reliable data. Own and evolve enterprise data architecture across the custom point-of-sale database, data warehouse, and semantic models to support long-term business and analytics strategy Assess current data structures and lead improvements to increase consistency, reuse, scalability, and clarity across the organization Establish and govern data modeling practices, including standards, naming conventions, and recommended approaches Select and maintain the data modeling and documentation tool used as the system of record Provide architectural leadership for data initiatives by partnering on application and system design to ensure data structures align with enterprise architecture and scale over time Review and approve data model and schema changes to protect integrity, reduce duplication, and ensure adherence to standards Establish and enforce a formal data architecture review and change control process Define and standardize data integration architecture and patterns to ensure data movement is scalable, efficient, and consistent, with clear systems of record and sources of truth Lead data governance efforts by defining data definitions, ownership, lineage, and stewardship practices to promote trust, consistency, and transparency in data use Partner with business and technology stakeholders to align data architecture with priorities and ensure data supports key decision-making Shape and influence long-term data platform strategy by evaluating technologies, recommending improvements, and guiding evolution of the data ecosystem to support growth and advanced analytics Skills We Are Seeking Required Skills:   Bachelor's Degree Minimum 5 years of relevant Data Architecture experience Strong expertise in data modeling (dimensional modeling and relational design) Deep understanding of data architecture across operational systems, data warehouses, and semantic models Knowledge of data governance practices (lineage, stewardship, and metadata management) Proficiency with SQL and experience working with enterprise data platforms Familiarity with Microsoft data technologies (SQL Server, SSIS, SSAS, and Power BI) Experience with data modeling and documentation tools Strong analytical and problem-solving skills with a focus on scalability and performance Experience working with semantic models and analytical layers Excellent communication skills with the ability to work across technical and business teams Ability to influence design decisions and guide development teams toward best practices Experience evaluating and selecting data tools and technologies Ability to design and evolve enterprise data architecture aligned with long-term business and technology strategy Preferred Skills: Experience defining and implementing enterprise data standards and governance frameworks Experience designing and optimizing data integration patterns and pipelines Exposure to modern data platforms or cloud-based architectures Experience working with semantic models and analytical layers Compensation & Benefits: Competitive Compensation Medical, Dental and Vision plans Paid Time Off, Paid Holidays DailyPay available! 401k with company match Tuition Reimbursement Lucrative Associate Referral Program Company Apparel and Work Boot Vouchers Opportunity for Advancement Paid Training and Business Certifications Available Free Counseling Services/Employee Assistance Program Life Insurance and Short- and Long-Term Disability Insurance Product Discounts Most Branches never work Sundays! Apply To This Job