Sr. Data Architect

SupplyHouse.com

4d•$145,000 - $180,000•Remote

About The Position

At 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. We are looking for a Sr. 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 Sr. 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. EST Base Salary: $145,000 – $180,000 per year

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

Nice To Haves

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)

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

Benefits

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
Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company’s growth and accomplishments.
Look out for our wellness initiatives and ask about our Flex-Time Policy!
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 make a difference through donation drives, employee-nominated contributions, support for non-profit organizations, Volunteer Paid Time Off, and more.