{"id":938630,"url":"https://alion.io/job/supplyhouse-principal-data-architect","title":"Principal Data Architect","company":{"id":685825,"name":"Supplyhouse","domain":"supplyhouse.com","url":"https://alion.io/company/supplyhouse","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-25T05:45:01Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":144433,"max":180541,"currency":"USD","period":"year","gross":null,"usd_annual":180541},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Platform Engineering","optional":false},{"name":"SOC 2","optional":false},{"name":"IAM","optional":true}],"status":"live","first_seen_at":"2026-08-24T19:38:47Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-26T01:51:51Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Real people. Real service.\nAt SupplyHouse.com, we value every individual team member and cultivate a community where people come first. Led by our core values of Generosity, Respect, Innovation, Teamwork, 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.\n\nWe are looking for aPrincipal 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.\nThis 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.\nThis 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.\nRole Type: Full-Time, Exempt\nLocation: Remote \nSchedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. ET\nBase Salary: The expected starting salary for the position is $144,433 to $180,541 within a full position range of $144,433 to $216,649annually. 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.\nResponsibilities: \nDesign, build, and maintain scalable ELT/ETL pipelines into BigQuery for core domains (orders, customers, products, inventory, fulfillment, procurement, marketing)\nBuild orchestration patterns with strong operational rigor (retries, idempotency, backfills, SLAs/SLOs, incident response) to enable reliable delivery\nImplement data quality and testing frameworks (freshness checks, anomaly detection, unit/integration tests) and standardize monitoring/observability\nStandardize CI/CD and infrastructure-as-code patterns for data systems and guide teams on best practices for ingestion, transformation, and orchestration\nLead modernization initiatives such as legacy warehouse to cloud lakehouse migrations and platform upgrades\nCreate and own curated, analytics-ready datasets and models (dimensional/conformed, semantic-ready layers) that make reporting fast, consistent, and self-serve\nEstablish and enforce standards for conceptual, logical, and physical data modeling\nOversee domain-driven modeling and data product design through reusable patterns and reference implementations\nEstablish data architecture standards including modeling conventions, schema evolution/versioning, incremental loading strategies, and warehouse performance patterns\nDefine and evolve the enterprise data architecture vision aligned to business strategy, including canonical data models, domain boundaries, and integration patterns\nLead architecture decisions for data warehousing, lakehouse, streaming, MDM, and operational data platforms\nEvaluate and select strategic data technologies and vendors\nPartner with Security and Legal to design privacy and compliance architectures (GDPR/CCPA/SOC2-aligned approaches) and establish enterprise governance frameworks\nBuild governance fundamentals including documentation, lineage/metadata, access controls, and PII handling\nAct as the escalation point for data architecture decisions and mentor senior engineers/architects through reviews, templates, and best practices\nPartner with application engineering and analytics stakeholders to define data contracts and ensure reliable upstream/downstream integrations\nTranslate business capabilities into scalable data platform solutions\nOptimize cost and performance across BigQuery workloads (query optimization, partition pruning, clustering strategies, and workload management where applicable)\nDrive adoption of emerging capabilities (real-time analytics, AI enablement, semantic layers, data mesh) and develop multi-year data roadmap and maturity models\nOperate at enterprise scope across multiple business domains\nInfluence strategy beyond the immediate team and set technical direction that others follow\nRequirements:\nBachelor's degree in CS, Engineering, Information Systems, or a related field\nA minimum of 10years of experience in Data Engineering, Architecture, or Platform Engineering\nA minimum of 5 years of experience designing enterprise-scale cloud data architectures (AWS, Azure, or GCP)\nExpertise in data warehousing, Lakehouse architecture, distributed processing, streaming, and enterprise data modeling (Kimball, Inmon, Data Vault, and/or domain-driven design)\nStrong understanding of data governance, metadata management, and security architecture\nExperience leading cross-functional architecture initiatives\nProven ability to influence senior stakeholders and executives\nPreferred Qualifications:\nA minimum of 7 years of experience in Data Engineering, Analytics Engineering, or Data Platform roles with significant production ownership\nDeep experience with GCP services relevant to data engineering (e.g., Cloud Storage, Pub/Sub, Dataflow, Cloud Composer, Cloud Functions/Run, Secret Manager, IAM)\nExperience with BigQuery best practices (partitioning/clustering, incremental strategies, performance tuning, cost controls)\nStrong understanding of BI consumption needs (star schema design, incremental refresh considerations, semantic consistency/metrics definitions)\nExperience implementing data mesh or domain-oriented ownership models, AI/ML feature platform exposure, regulated environment experience, and strong cloud cost management acumen\nIndustry certifications (AWS Solutions Architect, Azure Architect, GCP Professional Architect)\nWhy work with us:\n We have awesome benefits - We offer a wide variety of benefits to help support you and your loved ones. These include:Comprehensive and affordable medical, dental, vision, and voluntary life insurance options\n401(k) with up to 4% company match\nPaid vacation, sick time, and holidays\nCompany-paid basic life insurance and long-term disability\nDiscounted auto, home, and pet insurance programs\nFlexible Spending Account (FSA)\nConfidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP)\nCompany-provided equipment and one-time $250 work from home stipend\n$750 annual professional development budget\n$25 monthly Grubhub credit\nCompany rewards and recognition program\nAnd more!\n\nWe empower ownership - We all contribute to our success and we all share in it. Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company’s growth and accomplishments.\nWe promote work-life balance - We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. Look out for our wellness initiatives and ask about our Flex-Time Policy!\nWe support growth - We encourage you to embrace continuous learning and take on new challenges. In an exciting and evolving industry, we provide opportunities for career growth through our annual merit and bonus opportunities, hands-on training, diversity and inclusion initiatives, internal mobility options, and professional development budget.\nWe give back - We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee-nominated contributions, support for non-profit organizations, Volunteer Paid Time Off, and more.\nWe listen - We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day.\nCheck us out and learn more at:https://www.supplyhouse.com/our-company!\nAdditional Details: \nRemote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations.\nApplicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse.com will not sponsor applicants for work visas.\nSupplyHouse.com is an Equal Opportunity Employer. We welcome and encourage individuals of all backgrounds, experiences, and perspectives to apply. Employment decisions are based on qualifications, merit, and business needs.\nTo ensure fairness and trust in our hiring process, we ask that all application materials, assessments, and interview responses reflect your own thinking and perspective. You may use AI tools to assist in preparing your responses, as long as this use is clearly disclosed and you can speak authentically to your ideas and work. Our focus is on honesty, judgment, and how you approach problem-solving. We appreciate your transparency and look forward to learning more about your skills.\nWe are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations.\nAll emails from the SupplyHouse team will only be sent from an @supplyhouse.com email address. Please exercise caution if you receive an email from an alternate domain.","description_format":"text","description_chars":10435,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Life insurance","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-15T15:52:01Z"}],"liveness":{"score":49,"band":"ok","label":"Likely open","p_open":1,"p_active":0.647,"p_room":0.75,"age_days":31,"expected_fill_days":36,"reasons":["conf:1","win:late"],"computed_at":"2026-09-25T05:45:01Z"},"pay":{"stated_usd_annual":180541,"is_top_pay":false},"html_url":"https://alion.io/job/supplyhouse-principal-data-architect","json_url":"https://alion.io/job/supplyhouse-principal-data-architect.json","meta":{"generated_at":"2026-09-26T04:15:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4649,"day_limit":5000,"remaining_today":351,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}