Lead Data Architect - Remote Enterprise Data & AI

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

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.