> Markdown version of [/jobs/ext/1490036-enterprise-data-platform-databricks-architect](https://www.wearedevelopers.com/jobs/ext/1490036-enterprise-data-platform-databricks-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). --- # Enterprise Data Platform/ Databricks Architect - **Company:** Epik Solutions - **Location:** United States (Remote available) - **Salary:** $145,600.0 - $166,400.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Continuous Integration, Data Sharing, Data Structures, Data Virtualization, Data Flow Control, Graph Database, Unstructured Data, Enterprise Data Management, Google Cloud, Cloud Platform System, Multi-Cloud, Data Lakes, Apache Kafka, Terraform, Oracle Cloud Infrastructure, Serverless Computing, Databricks - **Published:** July 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=741f236a6ecb5888 ## About the Role * Powerful communication is necessary since this person will be discussing and solutioning all the data requirements across the organization and outside the org too. * Strong knowledge of Enterprise Data Modeling and Design for Structured and Unstructured Data. * Conceptual understanding of Delta Lake and Lakehouse * Understanding of AI data needs with knowledge of Vector stores and Graph databases. * Knowledge of Data sharing solutions and technologies; internal and external * Hands-on skill necessary with Past coding background and knowledge of all types of data structures * Knowledge of Data virtualization, federation, governance, cataloging and management * Architect cloud-native platforms using Terraform, GCP, Kafka, and Dataflow * Implement CI/CD and serverless frameworks to improve scalability and reliability * Managed multi-cloud architecture leveraging OCI, Azure, AWS and GCP services ## Description * This must be an Architect level profile designing Gold Layer and Semantic models for Enterprise Data Lakehouse. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [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) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## 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) - [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) - [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) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)