> Markdown version of [/jobs/ext/2011129-databricks-data-architect](https://www.wearedevelopers.com/jobs/ext/2011129-databricks-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Databricks Data Architect

- **Company:** American CyberSystems
- **Location:** New York, NY, United States (Remote available)
- **Salary:** $145,600.0 - $156,000.0
- **Contract:** Permanent contract
- **Skills:** Data Architecture, Azure Data Lake, Azure Data Factory, Data Lakes, Pyspark, Data Analytics, Azure Synapse Analytics, Databricks
- **Published:** August 10, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1022322&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

* Prior experience specifically in a Databricks Architect role - designing enterprise-scale Databricks solutions, not solely implementation/engineering work
 * Strong, hands-on production experience with Azure data services - ADLS Gen2, Azure Data Factory, Azure Synapse/Fabric
 * Strong, hands-on production experience with Databricks - Unity Catalog, Delta Lake, PySpark, Databricks Workflows; familiarity with Managed Iceberg tables a plus

## Description

* collaborate with various infrastructure teams, platforms, product, engineering, and scientists, to identify requirements that will derive the creation of sensible operations to build and manage data analytics foundations.


## 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)
- [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)
- [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)
- [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)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [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)