Principal Data Architect

This is a fully remote position, open to applicants in Arizona, +13 more states.

📋 Description

• Report directly to the Vice President of IT.

• Develop and implement the enterprise data architecture strategy.

• Design, construct, and maintain scalable ELT/ETL pipelines into BigQuery for essential business domains.

• Create dependable orchestration patterns featuring retries, idempotency, backfills, SLAs/SLOs, and incident response.

• Enforce data quality, testing, monitoring, and observability frameworks.

• Standardize CI/CD and infrastructure-as-code practices for data systems.

• Lead the migration of legacy warehouses to cloud lakehouse architectures and oversee platform upgrades.

• Develop and manage curated, analytics-ready datasets and models.

• Set standards for conceptual, logical, and physical data modeling.

• Supervise domain-driven modeling and design of data products.

• Articulate the enterprise data architecture vision, canonical data models, domain boundaries, and integration patterns.

• Guide architectural decisions for data warehousing, lakehouse, streaming, MDM, and operational data platforms.

• Assess and select strategic data technologies and vendors.

• Collaborate with Security and Legal teams on privacy, compliance, and governance architectures.

• Establish governance fundamentals, including documentation, lineage/metadata, access controls, and PII management.

• Act as an escalation point for data architecture decisions and mentor senior engineers and architects.

• Partner with application engineering and analytics teams on data contracts and integrations.

• Convert business capabilities into scalable data platform solutions.

• Optimize BigQuery workload costs and performance through query optimization, partition pruning, clustering, and workload management.

• Promote the adoption of real-time analytics, AI enablement, semantic layers, and data mesh.

• Develop a multi-year data roadmap and maturity models.

• Operate at an enterprise level across various business domains and influence technical strategy.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.

• At least 10 years of experience in Data Engineering, Architecture, or Platform Engineering.

• Minimum of 5 years of experience in designing enterprise-scale cloud data architectures (AWS, Azure, or GCP).

• Expertise in data warehousing, Lakehouse architecture, distributed processing, streaming, and enterprise data modeling (including Kimball, Inmon, Data Vault, and/or domain-driven design).

• Strong grasp of data governance, metadata management, and security architecture.

• Experience leading cross-functional architecture initiatives.

• Demonstrated ability to influence senior stakeholders and executives.

• Applicants must currently possess authorization to work in the U.S. on a full-time basis; SupplyHouse.com will not sponsor applicants for work visas.

• Preferred: at least 7 years of experience in Data Engineering, Analytics Engineering, or Data Platform roles with significant production ownership.

• Preferred: extensive experience with GCP services relevant to data engineering (including Cloud Storage, Pub/Sub, Dataflow, Cloud Composer, Cloud Functions/Run, Secret Manager, IAM).

• Preferred: familiarity with BigQuery best practices, including partitioning/clustering, incremental strategies, performance tuning, and cost management.

• Preferred: strong understanding of BI consumption needs, including star schema design, incremental refresh considerations, and semantic consistency/metrics definitions.

• Preferred: experience in implementing data mesh or domain-oriented ownership models, exposure to AI/ML feature platforms, experience in regulated environments, and strong cloud cost management skills.

• Preferred: industry certifications such as AWS Solutions Architect, Azure Architect, or GCP Professional Architect.

🏝️ Benefits

• Comprehensive and affordable options for medical, dental, vision, and voluntary life insurance.

• 401(k) plan with up to a 4% company match.

• Paid vacation, sick leave, and holidays.

• Company-paid basic life insurance and long-term disability coverage.

• Discount programs for auto, home, and pet insurance.

• Flexible Spending Account (FSA) options.

• Confidential support for mental health, financial planning, and legal issues through the Employee Assistance Program (EAP).

• Company-provided equipment and a one-time $250 stipend for working from home.

• $750 annual budget for professional development.

• $25 monthly credit for Grubhub.

• Company rewards and recognition program.

• Ownership for All program offering financial benefits from company growth and achievements.

• Wellness initiatives and a Flex-Time Policy.

• Opportunities for annual merit increases and bonuses.

• Hands-on training opportunities.

• Commitment to diversity and inclusion initiatives.

• Options for internal mobility.

• Paid time off for volunteering.

• Donation drives and contributions nominated by employees.

• Monthly town hall meetings, regular one-on-one check-ins, employee feedback initiatives, and company-wide idea submissions.