Principal Data Architect

Real people. Real service. At  SupplyHouse.com , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are looking for a Principal Data Architect to join our IT Team. This individual will report into our Vice President of IT, and will be responsible for defining and driving our enterprise data architecture strategy while remaining hands-on in delivering scalable, reliable data products. This role operates at a company-wide scope, shaping long-term data platform direction, governance standards, and scalable architecture patterns that enable analytics, AI/ML, operational systems, and business intelligence. As a strategic individual contributor, the Principal Data Architect will partner with executive leadership, Engineering, Analytics, Security, and Product teams to ensure data is reliable, secure, governed, and positioned as a competitive advantage. This remote position is open to individuals who live in, or are open to relocating to, the following states:  Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. This position requires travel to our headquarters in Melville, NY 3 times per year for internal meetings and team building activities. Additional travel may be required based on department and company needs. We reimburse reasonable and necessary travel expenses, and you’re also welcome to work on-site anytime beyond these visits – our doors are always open. Role Type:  Full-Time, Exempt Location:  Remote   Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. ET Base Salary:  The expected starting salary for the position is  $144,433 to $180,541 within a full position range of $144,433 to $ 216,649 annually. This range reflects the long-term earning potential for the role. Our starting pay practice is the minimum to middle portion of the range, depending on experience, qualifications, and internal equity, consistent with applicable law and it is rare for a new hire to start above the midpoint. Responsibilities:   Design, build, and maintain scalable ELT/ETL pipelines into BigQuery for core domains (orders, customers, products, inventory, fulfillment, procurement, marketing) Build orchestration patterns with strong operational rigor (retries, idempotency, backfills, SLAs/SLOs, incident response) to enable reliable delivery Implement data quality and testing frameworks (freshness checks, anomaly detection, unit/integration tests) and standardize monitoring/observability Standardize CI/CD and infrastructure-as-code patterns for data systems and guide teams on best practices for ingestion, transformation, and orchestration Lead modernization initiatives such as legacy warehouse to cloud lakehouse migrations and platform upgrades Create and own curated, analytics-ready datasets and models (dimensional/conformed, semantic-ready layers) that make reporting fast, consistent, and self-serve Establish and enforce standards for conceptual, logical, and physical data modeling Oversee domain-driven modeling and data product design through reusable patterns and reference implementations Establish data architecture standards including modeling conventions, schema evolution/versioning, incremental loading strategies, and warehouse performance patterns Define and evolve the enterprise data architecture vision aligned to business strategy, including canonical data models, domain boundaries, and integration patterns Lead architecture decisions for data warehousing, lakehouse, streaming, MDM, and operational data platforms Evaluate and select strategic data technologies and vendors Partner with Security and Legal to design privacy and compliance architectures (GDPR/CCPA/SOC2-aligned approaches) and establish enterprise governance frameworks Build governance fundamentals including documentation, lineage/metadata, access controls, and PII handling Act as the escalation point for data architecture decisions and mentor senior engineers/architects through reviews, templates, and best practices Partner with application engineering and analytics stakeholders to define data contracts and ensure reliable upstream/downstream integrations Translate business capabilities into scalable data platform solutions Optimize cost and performance across BigQuery workloads (query optimization, partition pruning, clustering strategies, and workload management where applicable) Drive adoption of emerging capabilities (real-time analytics, AI enablement, semantic layers, data mesh) and develop multi-year data roadmap and maturity models Operate at enterprise scope across multiple business domains Influence strategy beyond the immediate team and set technical direction that others follow Requirements: Bachelor's degree in CS, Engineering, Information Systems, or a related field ​A minimum of 10 years of experience in Data Engineering, Architecture, or Platform Engineering A minimum of 5 years of experience designing enterprise-scale cloud data architectures (AWS, Azure, or GCP) Expertise in data warehousing, Lakehouse architecture, distributed processing, streaming, and enterprise data modeling (Kimball, Inmon, Data Vault, and/or domain-driven design) Strong understanding of data governance, metadata management, and security architecture Experience leading cross-functional architecture initiatives Proven ability to influence senior sta