Azure Databricks Platform Engineer with Unity Catalog
Location: Seattle, WA / Dallas, TX (Onsite)
Duration: Fulltime
Our Client is urgently seeking a Platform Engineer for enterprise-level metadata management and data access initiatives. The ideal candidate will have deep expertise in platform administration of Databricks and Unity Catalog and will drive strategic alignment across technical and business teams. This role is open to relocation and offers the opportunity to shape scalable, secure data ecosystems.
Your Role
Implement data provisioning patterns based on business requirements, following predefined processes, policies, standards, and metadata management rules
Create and manage distributed workspaces in Databricks, set up workspace policies, provision Databricks clusters and manage data infrastructure sizing and capacity
Create Python notebooks, implement data masking processes, create UDFs (SQL/Python), troubleshoot data pipelines
Ensure data security and compliance with regulations using Databricks and Privacera's features
Navigate multi-step enterprise approval process across architecture, security, and governance teams
Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog, and Privacera.
Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality
Design and maintain data models and schemas, incorporating Unity Catalog and Collibra data governance practices
Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices
Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups
Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions
Foster collaboration and clarity in complex, ambiguous environments.
Your skills and experience:
Extensive hands-on platform engineering experience with Databricks and Unity Catalog
Proven success in implementing distributed Databricks workspaces, SQL, and Python, scripting, and automation
Experience with Azure infrastructure provisioning
Familiarity with data governance frameworks and compliance standards
Familiarity with Privacera data security and access control management
Familiarity with data requirements of common ML/AI use cases
Awareness of data governance frameworks, enterprise data compliance requirements, metadata modeling, data architecture, and enterprise-scale data discovery solutions
Never miss an opportunity! Create an alert based on the job you applied for.
