Principal Data Architect

SupplyHouse.com; United States; A distancia; USD 144.000 - 181.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision insurance

401(k) with up to 4% company match

Paid vacation and holidays

Company-provided equipment

One-time $250 work-from-home stipend

$750 annual professional development预算

$25 monthly Grubhub credit

Descripción de la vacante

SupplyHouse.com is seeking a Principal Data Architect to define and drive our enterprise data architecture strategy. This remote role partners with executive leadership to ensure data is reliable, secure, governed, and positioned as a competitive advantage across analytics, AI/ML, and BI.

The ideal candidate has 10+ years in data engineering/architecture, 5+ years designing cloud data architectures (AWS/Azure/GCP), and strong governance and security expertise.

Formación

• Bachelor's degree in CS/Engineering/Information Systems
• 10+ years of experience in Data Engineering, Architecture, or Platform Engineering
• 5+ years designing enterprise-scale cloud data architectures (AWS, Azure, or GCP)
• Expertise in data warehousing, Lakehouse, distributed processing, streaming, and enterprise data modeling
• Strong understanding of data governance, metadata management, and security architecture
• Experience leading cross-functional architecture initiatives
• Proven ability to influence senior stakeholders and executives

Responsabilidades

• 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

Conocimientos

Data architecture

Executive influence

Cross-functional collaboration

Leadership

Educación

Bachelor's degree in CS/Engineering/Information Systems

Herramientas

BigQuery

Cloud platforms (AWS/Azure/GCP)

Data governance tools

CI/CD for data systems

Descripción del empleo

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 stakeholders and executives

Preferred Qualifications:

• A minimum of 7 years of experience in Data Engineering, Analytics Engineering, or Data Platform roles with significant production ownership
• Deep experience with GCP services relevant to data engineering (e.g., Cloud Storage, Pub/Sub, Dataflow, Cloud Composer, Cloud Functions/Run, Secret Manager, IAM)
• Experience with BigQuery best practices (partitioning/clustering, incremental strategies, performance tuning, cost controls)
• Strong understanding of BI consumption needs (star schema design, incremental refresh considerations, semantic consistency/metrics definitions)
• Experience implementing data mesh or domain-oriented ownership models, AI/ML feature platform exposure, regulated environment experience, and strong cloud cost management acumen
• Industry certifications (AWS Solutions Architect, Azure Architect, GCP Professional Architect)

Why work with us:

• 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
  • 401(k) with up to 4% company match
  • Paid vacation, sick time, and holidays
  • Company-paid basic life insurance and long-term disability
  • Discounted auto, home, and pet insurance programs
  • Flexible Spending Account (FSA)
  • Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP)
  • Company-provided equipment and one‑time $250 work from home stipend
  • $750 annual professional development budget
  • $25 monthly Grubhub credit
  • Company rewards and recognition program
  • And more!
• We 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.
• We 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!
• We 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.
• We 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.
• We 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.
• Remote 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.
• Applicants must be currently authorized to work in the U.S. on a full‑time basis. SupplyHouse.com will not sponsor applicants for work visas.
• SupplyHouse.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.
• To 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.
• We 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.
• All 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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in SupplyHouse.com’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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