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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TELECOMMUTE Data Architect - Azure Databricks - **Company:** SRI Tech Solutions Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Continuous Integration, Data Architecture, Information Engineering, Data Vault Modeling, Dimensional Modeling, Graph Database, Apache Hive, Metadata, Performance Tuning, Reference Data, SAP Supply Chain Management (SCM), Search Technologies, SQL Databases, Data Streaming, Technical Data Management Systems, Unstructured Data, Enterprise Data Management, Sql Optimization, Apache Spark, IT Architecture, Data Lakes, Pyspark, Data Lineage, Star Schema, Physical Data Models, Meditech, Databricks - **Published:** August 25, 2026 - **Apply:** https://www.dice.com/job-detail/490e395c-e926-4261-be2a-9adae6c8a342 ## About the Role * 10+ years of Data Engineering / Data Architecture experience. * Strong hands-on Azure Databricks, PySpark, SQL, Data Modeling, and Lakehouse Architecture experience. * Experience designing large-scale enterprise data platforms. * Experience with Delta Lake, Unity Catalog, metadata-driven pipelines, and data-quality frameworks. * Good understanding of Vector Databases, Knowledge Graphs, and Ontology. ## Description We are seeking a highly technical Data Architect with strong hands-on experience in Azure Databricks, Data Modeling, Spark/PySpark, SQL, Delta Lake, and modern data architecture. The role focuses on designing scalable data architecture while reviewing and troubleshooting data engineering implementations., * Design scalable Lakehouse and Medallion Architecture using Azure Databricks. * Design Conceptual, Logical, and Physical Data Models for MedTech Supply Chain data. * Define architecture for ingestion, transformation, curation, and downstream consumption. * Design batch, incremental, CDC, and streaming data-processing patterns. * Develop and review solutions using PySpark, Spark SQL, and advanced SQL. * Design reusable and metadata-driven data engineering frameworks. * Review source-to-target mappings and complex transformation logic. * Define data-quality, reconciliation, lineage, metadata, and audit requirements. * Design and review Delta Lake implementations including MERGE, schema evolution, and historical processing. * Review Spark workloads for performance, scalability, and cost optimization. * Define security and governance using Unity Catalog. * Establish Databricks CI/CD and deployment standards. * Work closely with Data Engineers, Data Modelers, Product Managers, and business teams. Core Technical Skills * Azure Databricks * Apache Spark * PySpark * Advanced SQL / Spark SQL * Delta Lake * Unity Catalog * Databricks Workflows / Jobs * Databricks Asset Bundles * Lakeflow / DLT * Auto Loader * CDC / Incremental Processing * Structured Streaming * Delta MERGE * Schema Evolution * Medallion Architecture * Data Modeling * Data Quality * Metadata & Data Lineage * Performance Tuning Data Modeling & Architecture Strong experience with Conceptual, Logical, and Physical Data Modeling; Dimensional Modeling; Fact and Dimension Design; Star / Snowflake Schema; Data Vault; SCD Type 1 / Type 2; Master and Reference Data; Enterprise and Domain Data Models. Modern Data & AI Architecture Understanding of Vector Databases and Vector Search, embeddings, semantic search, RAG architecture, Knowledge Graphs, ontology and semantic modeling, and integration of structured/unstructured data with Lakehouse, Vector Search, Knowledge Graph, and AI applications. MedTech Supply Chain Knowledge * Materials * Plants & Storage Locations * Inventory * Sales Orders * Purchase Orders * Deliveries * Shipments * Material Movements * Manufacturing * Suppliers & Customers * Demand & Supply Planning * ATP * Lead Times * Order Fulfillment * Strong SAP Supply Chain data knowledge is preferred. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)