Staff Data Engineer building pipelines, models, and infrastructure for exacare ai’s post - acute care AI platform. Turning healthcare data into reliable foundations for product, analytics, and ML workflows.
LP
Azure Databricks Architect
Posted via LinkedIn Recruiter (not a company profile)
Posted 7 months ago
About the role
- Azure Databricks Architect designing Azure data solutions with Databricks, Data Factory, Synapse Analytics. Builds Medallion architecture, data pipelines, AI/ML workflows, and serves as technical authority.
Responsibilities
- Platform Architecture Designing and implementing Azure based data solutions using Databricks Data Factory Synapse Analytics and Data Lake services. Design build and optimize a Medallion architecture Bronze Silver Gold supporting both HR and enterprise data domains. Develop data pipelines APIs and orchestration frameworks that enable seamless data ingestion transformation and delivery. Establish and maintain data governance metadata and lineage frameworks using Databricks Unity Catalog and Azure Purview. Build and maintain ETLELT frameworks data APIs and Realtime workflows connecting diverse HR and enterprise systems. Leverage AI and ML capabilities within Databricks including MLflow feature stores and the Agent Framework Agent Bricks to build intelligent data agents for automation monitoring and analytics enrichment. Design and implement AI agent pipelines that can reason over HR data models automate transformations and enhance analytical outcomes. Integrate CICD pipelines and infrastructureascode approaches Terraform Bicep or Azure DevOps. Serve as the technical authority for Azure and Databricks architecture within HR Technology. Partner with HR Analytics and Infrastructure leaders to define and execute the data and AI modernization roadmap. Establish standards patterns and reusable frameworks for data engineering AI agents and automation. Mentor engineers and champion a culture of innovation experimentation and delivery excellence.
Requirements
- Education bachelor’s or master’s degree in computer science information systems or related field. Experience Minimum 12 years of hands-on experience architecting and delivering largescale data platforms using Azure and Databricks. Proven success in deploying Medallion architectures governed data pipelines and Ai driven data workflows Expertise in Azure Data Lake Data Factory and Synapse Analytics. Databricks Delta Lake Unity Catalog Spark optimization. Python SQL PySpark and API development REST GraphQL. Infrastructure as code Terraform Bicep and DevOps automation. AIML frameworks within Databricks including Agent Bricks and MLflow. Strong grounding in data governance security and compliance best practices. Excellent communication and collaboration skills ability to translate complex architecture into business outcomes. Knowledge of Azure Purview Power BI and data cataloging tools. Experience implementing Databricks Unity Catalog Delta Live Tables and AI agent orchestration within enterprise contexts. Familiarity with HR data models and effective design for analytics and workforce intelligence. Understanding of LLM integration and AI agent frameworks for data enrichment and automation.
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