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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Data Architect - **Company:** Concentrix Corporation - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $106,087.0 - $155,376.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Computing Platforms, Microsoft Azure, Data Architecture, Information Engineering, Software Design Patterns, Python (Programming Language), SQL Databases, Systems Integration, Workflow Management Systems, Enterprise Data Management, Data Ingestion, Data Lakes, Pyspark, Data Management, Data Pipelines, Databricks - **Published:** July 19, 2026 - **Apply:** https://dejobs.org/x/x/DC4B61F3E3C34C7EBA98F444FEF566FB/job/ ## About the Role * 10+ years of experience in data engineering, platform architecture, and enterprise data delivery. * Proven leadership experience in healthcare data environments. * Hands-on Databricks experience in production, including experience as a Databricks Solution Architect or Technical Lead. * Strong expertise in Databricks Lakehouse architecture, Unity Catalog, Delta Lake, medallion patterns, and orchestration/workflow design. * Experience deploying and operating Databricks on Azure, AWS, and/or GCP, with strong understanding of integrations across storage, identity, and networking. * Proficiency in Python, PySpark, and SQL. * Strong experience designing scalable and resilient enterprise data pipelines and frameworks. * Ability to lead architecture reviews, influence decisions, and collaborate effectively with client stakeholders and internal technical teams. * Excellent communication skills with the ability to translate complex technical concepts into clear business value., In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence. ## Description * Lead the architecture and delivery of healthcare data platforms across cloud and hybrid environments. * Drive platform strategy, roadmap planning, and modernization initiatives aligned to business and technology goals. * Define scalable Databricks Lakehouse solutions using Delta Lake and medallion architecture patterns across bronze, silver, and gold layers. * Establish reference architectures, reusable design patterns, and engineering best practices for enterprise data delivery. * Modernize legacy data platforms to Databricks Lakehouse and Azure-based architectures. * Design scalable frameworks for data ingestion, curation, quality, reconciliation, governance, lineage, and monitoring. * Oversee the development of high-performance data pipelines supporting enterprise, operational, and clinical use cases. * Support analytics, reporting, and interoperability requirements across healthcare data domains. * Provide technical leadership for solutions spanning claims, clinical, pharmacy, and interoperability data. * Ensure architecture decisions align with enterprise standards for security, compliance, reliability, scalability, and performance. * Partner with stakeholders, delivery teams, and engineering leaders to prioritize platform capabilities and roadmap investments. * Mentor engineers and lead architectural discussions that influence technical direction and delivery excellence. * Promote adoption of governance and data privacy controls, including alignment with Databricks security and compliance requirements. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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)