Databricks Architect

401K, Medical Insurance, Dental Insurance, Vision Insurance

Contractor | On-site

Why work here The role offers opportunities to work with large-scale datasets, cloud technologies, analytics, machine learning, and enterprise

Required Skills We are seeking a Databricks Architect to design and implement scalable data and analytics platforms using the Databricks ecosystem. The architect will work with data engineers, data scientists, analysts, cloud engineers, and business stakeholders to develop modern data architectures that support analytics, machine learning, reporting, and business intelligence. Responsibilities include designing data pipelines, lakehouse architectures, data models, governance frameworks, and integration solutions. The role will also focus on performance optimization, security, access management, data quality, and cost management across large-scale data environments. The successful candidate will establish technical standards and guide engineering teams in implementing reliable and maintainable data solutions.

Skills

Databricks Lakehouse architecture

Python and SQL

Data engineering and ETL/ELT

Data modeling

Cloud platforms such as AWS, Azure, or Google Cloud

Data governance and security

Data quality and observability

Streaming and batch processing

APIs and data integration

Performance optimization

CI/CD for data platforms

Technical architecture and documentation

Education Bachelor’s degree in Computer Science, Data Engineering, Information Technology, Mathematics, or a related technical field. A master’s degree and Databricks or cloud certifications are valuable.

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