Principal Data Architect

Openkrill; United States; Remote; USD 144,000 - 181,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) with company match

Paid vacation

Work from home stipend

Professional development budget

Grubhub credit

Job summary

SupplyHouse.com is seeking a Principal Data Architect to define and drive our enterprise data architecture strategy, while hands-on delivering scalable data products. You will shape governance standards and architectural patterns enabling analytics, AI/ML, and BI across the organization.

You will partner with executive leadership, Engineering, Analytics, Security, and Product teams to ensure data is reliable, governed, and positioned as a competitive advantage.

Qualifications

• Bachelor's degree in CS, Engineering, Information Systems, or a related field.
• 10+ years of experience in Data Engineering, Architecture, or Platform Engineering.
• 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.

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

Skills

Data architecture

Cloud data engineering

Leadership

Stakeholder influence

ETL/ELT design

Governance

Education

Bachelor's degree in CS/Engineering/IS

Tools

BigQuery

Cloud Composer

Pub/Sub

Dataflow

IAM

Cloud Storage

Job description

Real people. Real service.

AtSupplyHouse.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 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 an