Cloud Data Platform Architect

Our promise to you:

Joining AdventHealth is about being part of something bigger. It’s about belonging to a community that believes in the wholeness of each person, and serves to uplift others in body, mind and spirit. AdventHealth is a place where you can thrive professionally, and grow spiritually, by Extending the Healing Ministry of Christ. Where you will be valued for who you are and the unique experiences you bring to our purpose-minded team. All while understanding that together we are even better.

Designs, implements, tests, deploys, and supports data pipelines using Cloud infrastructure and Azure services. Develops scalable, repeatable, and maintainable serverless solutions using Azure Data Factory, Azure Functions, and Databricks. Adopts best practices for data ingestion and extraction from multiple sources like RDBMS, NoSQL, Files, Kafka, and Big Data tools. Creates and maintains SQL code as necessary as part of data pipelines. Gathers project requirements by meeting with stakeholders and various operational and business teams. Works with Cloud administrators to implement and support enterprise security standards in the Cloud data infrastructure. Proposes and builds monitoring tools with Cloud administrators to optimize performance and ensure high availability. Collaborates with system and product teams to understand system requirements and necessary modifications to data flow, security, and retention. Creates solutions to improve product stability, scalability, and performance. Works with data warehouse, business intelligence, and advanced analytics teams to evaluate Big Data and cloud use cases. Escalates support issues with internal teams and vendors. Participates in rotational on-call duty to support the production environment. Develops, manages, and owns the full data lifecycle from raw data acquisition through transformation to end-user consumption. Leads the evaluation and adoption of AI capabilities within the Cloud Data Platform, with a focus on improving data engineering productivity, Snowflake development practices, data quality, metadata management, and platform automation. Researches and enables Snowflake and Azure AI features such as Snowflake Cortex, Cortex Code Assistant, Cortex AI functions, Cortex Search, Cortex Analyst, and Azure AI services.Establishes best practices and governance patterns to ensure AI is used appropriately, securely, and cost-effectively, while reinforcing strong data engineering principles such as data cleansing, curation, standardization, and reusable pipeline design. 

Certain positions are subject to Florida Level 2 background screening, including fingerprinting, as required by state law.

Applicants may review general information about Florida’s background screening requirements at the Florida Care Provider Background Screening Clearinghouse:
https://info.flclearinghouse.com/

This facility is an equal opportunity employer and complies with federal, state and local anti-discrimination laws, regulations and ordinances.