This position is responsible for establishing and evolving the organization’s data architecture using Databricks as the core data platform. In an early-stage data environment, this role focuses on creating strong data foundations, enabling analytics and reporting, and guiding teams toward scalable, cost-effective data practices. The Data Architect works closely with business and technical stakeholders to translate priority use cases into practical data solutions while avoiding over-engineering. In this role, you will Define, maintain and evolve core data architecture models, flows, and platform standards. Design scalable data pipelines and foundational models (bronze/silver/gold). Define standards for ingestion, transformation, modeling, naming, access, and security. Translate business needs into practical, scalable data designs. Partner with engineering and analytics teams across modeling, integration, MDM, metadata, warehousing, lakes, and BI. Support early analytics, BI, and data science use cases. Guide teams on Databricks best practices. Maintain data architecture roadmaps and priorities. Balance short‑term delivery with long‑term scalability and articulate tradeoffs. Identify technical debt and propose incremental improvements. Act as a hands‑on advisor to resolve complex data issues. Evaluate emerging technologies to inform modernization and future investments.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees