
501 - 1000 employees
Founded 2004
đŚ Logistics
đ Manufacturing
đď¸ eCommerce
Logistics ⢠Manufacturing ⢠eCommerce
SupplyHouse. com is an online retailer specializing in providing a wide range of plumbing, heating, HVAC, and electrical supplies. The company offers various products, including PEX supplies, fittings, valves, tools, and resources for both professional and amateur DIYers. With a focus on offering a comprehensive selection of parts and materials, SupplyHouse. com supports its customers with fast shipping, easy returns, and customer-centric services. The company is committed to serving trade professionals as well as general consumers by providing access to a vast inventory and competitive pricing.
đĽ 0 minutes ago
đľ Arizona, Florida, +12 more states â Remote
đľ $144.4k - $180.5k / year
â° Full Time
đ´ Lead
đ° Data Engineer
đŚ H1B Visa Sponsor
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501 - 1000 employees
Founded 2004
đŚ Logistics
đ Manufacturing
đď¸ eCommerce
Logistics ⢠Manufacturing ⢠eCommerce
SupplyHouse. com is an online retailer specializing in providing a wide range of plumbing, heating, HVAC, and electrical supplies. The company offers various products, including PEX supplies, fittings, valves, tools, and resources for both professional and amateur DIYers. With a focus on offering a comprehensive selection of parts and materials, SupplyHouse. com supports its customers with fast shipping, easy returns, and customer-centric services. The company is committed to serving trade professionals as well as general consumers by providing access to a vast inventory and competitive pricing.
⢠Report to the Vice President of IT ⢠Define and drive the enterprise data architecture strategy ⢠Design, build, and maintain scalable ELT/ETL pipelines into BigQuery for core business domains ⢠Build reliable orchestration patterns with retries, idempotency, backfills, SLAs/SLOs, and incident response ⢠Implement data quality, testing, monitoring, and observability frameworks ⢠Standardize CI/CD and infrastructure-as-code patterns for data systems ⢠Lead legacy warehouse-to-cloud lakehouse migrations and platform upgrades ⢠Create and own curated, analytics-ready datasets and models ⢠Establish standards for conceptual, logical, and physical data modeling ⢠Oversee domain-driven modeling and data product design ⢠Define enterprise data architecture vision, 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 on privacy, compliance, and governance architectures ⢠Build governance fundamentals including documentation, lineage/metadata, access controls, and PII handling ⢠Serve as escalation point for data architecture decisions and mentor senior engineers and architects ⢠Partner with application engineering and analytics stakeholders on data contracts and integrations ⢠Translate business capabilities into scalable data platform solutions ⢠Optimize BigQuery workload cost and performance through query optimization, partition pruning, clustering, and workload management ⢠Drive adoption of real-time analytics, AI enablement, semantic layers, and data mesh ⢠Develop a multi-year data roadmap and maturity models ⢠Operate at enterprise scope across multiple business domains and influence technical strategy
⢠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 ⢠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 ⢠Preferred: a minimum of 7 years of experience in Data Engineering, Analytics Engineering, or Data Platform roles with significant production ownership ⢠Preferred: deep experience with GCP services relevant to data engineering (Cloud Storage, Pub/Sub, Dataflow, Cloud Composer, Cloud Functions/Run, Secret Manager, IAM) ⢠Preferred: experience with BigQuery best practices, including partitioning/clustering, incremental strategies, performance tuning, and cost controls ⢠Preferred: strong understanding of BI consumption needs, including star schema design, incremental refresh considerations, and semantic consistency/metrics definitions ⢠Preferred: experience implementing data mesh or domain-oriented ownership models, AI/ML feature platform exposure, regulated environment experience, and strong cloud cost management acumen ⢠Preferred: industry certifications such as AWS Solutions Architect, Azure Architect, or GCP Professional Architect
⢠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 the 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 ⢠Ownership for All program with financial benefits from company growth and accomplishments ⢠Wellness initiatives and Flex-Time Policy ⢠Annual merit and bonus opportunities ⢠Hands-on training ⢠Diversity and inclusion initiatives ⢠Internal mobility options ⢠Volunteer Paid Time Off ⢠Donation drives and employee-nominated contributions ⢠Monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form
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