PATTERNS
PATTERNS

62 Patterns Warehousing Jobs Hiring Near You

Own event streaming/messaging, database technology strategy, pipeline patterns, warehouse, and lakehouse strategies. * Define Technology Lifecycle: Evaluate emerging technologies through structured ...

Drive the evolution of our data architecture to support scalability, reliability, and performance with a Snowflake-first mindset, including data modeling standards, ELT patterns, warehouse strategy ...

Evaluate and introduce tools or architecture patterns when they materially improve scale ... Design the warehouse to be queried by AI agents, not just people. This means structuring models ...

We're looking for a Head of Procurement, Ops to own vendor management and sourcing for Pattern's growing U.S. warehouse network. Our operations network brings products in, prepares them for sale, and ...

We're looking for a Head of Procurement, Ops to own vendor management and sourcing for Pattern's growing U.S. warehouse network. Our operations network brings products in, prepares them for sale, and ...

Showing results 21-40

Data Warehouse Architect

Octagon Talent

Fort Lauderdale, FL • Hybrid

Full-time

Re-posted 3 days ago


Job description

Octagon Talent Solutions is hiring a Data Warehouse Architect / Data Modeler in the Fort Lauderdale area to help shape our client company’s next-generation analytics foundation. In this hands-on role, you’ll architect a hybrid Databricks + Microsoft Fabric ecosystem, designing the data models that power decision-making, guiding lakehouse/warehouse structure, and partnering with data engineers to keep the platform scalable, trusted, and ready for an exciting future in the energy industry!


Responsibilities:


  • Own end-to-end data modeling for our client company’s modern data platform (conceptual, logical, and physical models)
  • Design scalable dimensional models (star/snowflake), canonical entities, and conformed dimensions to enable consistent reporting across domains
  • Partner with data engineers to implement models in a lakehouse context (Delta/Medallion patterns) across Databricks and Fabric
  • Define data contracts and modeling standards that improve consistency, quality, and downstream usability
  • Collaborate with stakeholders to translate requirements into clear data definitions, metrics, and model structures
  • Support pipeline design by providing modeling guidance for ingestion, transformation, and curated layers
  • Create and maintain documentation (data dictionaries, lineage, model diagrams) and ensure models remain understandable and maintainable
  • Contribute to performance and cost optimization (partitioning strategies, model design choices, query patterns)
  • Support modernization efforts as the company introduces Fabric components alongside existing Databricks investments
  • Collaborate on initiatives that enable agentic/AI use cases through clean, well-described data structures


Required Qualifications


  • 7+ years of experience in data modeling / data warehousing / analytics engineering (or equivalent)
  • Proven expertise in dimensional modeling and data warehouse best practices
  • Hands-on experience with Databricks and Delta Lake concepts
  • Experience with Microsoft Fabric (or strong readiness to operate in Fabric), including lakehouse/warehouse concepts
  • Experience building/maintaining models that support enterprise reporting and analytics
  • Strong SQL skills and ability to reason about query performance and warehouse design
  • Experience with orchestration and integration patterns using Azure Data Factory (ADF)
  • Ability to communicate clearly with technical and non-technical stakeholders (definitions, tradeoffs, and standards)


Preferred Qualifications


  • Experience in Azure-native data stacks (ADLS, ADF, Synapse, Purview, etc.)
  • Experience designing governance-oriented modeling standards (quality checks, naming conventions, metric definitions)
  • Experience with data observability and/or data quality tooling
  • Experience enabling self-service analytics and semantic layer practices
  • Familiarity with AI/ML data readiness and feature/curation patterns


Work Authorization

  • Must be a U.S. citizen or U.S. permanent resident (Green Card holder). No H-1B sponsorship is possible for this role.