Cloud Data Platform Architect

About the role

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.

Responsibilities

• 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.
• 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.

Requirements

• Proficiency with SQL.
• Understanding of distributed computing paradigm and working knowledge in technologies like Spark, Impala, NiFi, Azure Data Factory, Azure Functions and Snowflake.
• Expert in managing code and dependencies, building and maintaining CI/CD pipelines in Azure DevOps/ GitHub along with other Configuration management best practices.
• Ensure alignment with our Cloud DevOps model based on 100% automation and adoption of repeatable patterns that can be leveraged across the organization.
• Full stack design and development experience within the Azure ecosystem in combination with Snowflake including building platforms and frameworks to create consistent, verifiable, and automatic management of applications and infrastructure between non-production and production environments.
• Good understanding of Big Data technologies like Spark, NiFi, Impala, Sqoop, Hive and File formats like Parquet, AVRO, ORC, CSV, JSON.
• Working knowledge of Snowflake Cortex, Cortex AI functions, Cortex Search, Cortex Analyst, Cortex Code Assistant, and emerging Snowflake AI capabilities.
• Understanding of AI cost drivers, including token usage, model selection, warehouse consumption, data volume, prompt design, and repeated processing patterns.
• Ability to design AI-ready data products, curated datasets, semantic layers, and metadata-driven frameworks that support reliable analytics and AI adoption.
• Ability to research, evaluate, and educate engineering teams on AI-enabled productivity tools for Data Engineering, pipeline optimization, documentation, testing, monitoring, and operational support.
• Ability to communicate complex information to internal and external audiences.
• Assist team members with production issues and offer support, guidance, and assist in communicating issues with appropriate stakeholders when necessary.
• Provides the technical expertise and/or direction for multiple complex projects of a development or technology group.

Qualifications

• Bachelor's degree in Computer Science or a related field in Computer Science, Data Science or related field.
• Master's degree preferred.
• 10+ years of experience with Java and/or Python.
• 10+ years of professional experience with software design and architecture using databases, big data and cloud platforms.
• 3+ years of experience with Azure and Snowflake.
• 3+ years of experience with big data, hadoop and distributed systems, Azure/AWS, Snowflake.
• 3+ years of experience with Cloudera Hadoop or similar.
• 5+ years of experience with any programming language such as Java, Python, and Scala.
• Experience in researching emerging technologies and trends, standards, and products and synthesizing into clear technology roadmaps and strategies.
• Some experience in designing and implementing Infrastructure as Code (IaaS) solutions to manage Azure resources using Terraform.
• Azure Cloud and/or Snowflake/Databricks certifications, or similar licenses and certifications (SnowPro Advanced: Data Engineer (DEA-C02), SnowPro Advanced: Architect (ARA-C01), Hadoop/Big Data certifications (Hadoop/BD), Databricks certifications (DC), Microsoft Certified: Fundamentals series (Cloud, Azure, AI, Data, Security etc.) (FUNDAMENTALS)).

Skills

• See the big picture concerning data analytics landscape, tools, solutions, and business goals.
• Proficiency with SQL.
• Understanding of distributed computing paradigm and working knowledge in technologies like Spark, Impala, NiFi, Azure Data Factory, Azure Functions and Snowflake.
• Expert in managing code and dependencies, building and maintaining CI/CD pipelines in Azure DevOps/ GitHub along with other Configuration management best practices.
• Ensure alignment with our Cloud DevOps model based on 100% automation and adoption of repeatable patterns that can be leveraged across the organization.
• Full stack design and development experience within the Azure ecosystem in combination with Snowflake including building platforms and frameworks to create consistent, verifiable, and automatic management of applications and infrastructure between non-production and production environments.
• Good understanding of Big Data technologies like Spark, NiFi, Impala, Sqoop, Hive and File formats like Parquet, AVRO, ORC, CSV, JSON.
• Working knowledge of Snowflake Cortex, Cortex AI functions, Cortex Search, Cortex Analyst, Cortex Code Assistant, and emerging Snowflake AI capabilities.
• Understanding of AI cost drivers, including token usage, model selection, warehouse consumption, data volume, prompt design, and repeated processing patterns.
• Ability to design AI-ready data products, curated datasets, semantic layers, and metadata-driven frameworks that support reliable analytics and AI adoption.
• Ability to research, evaluate, and educate engineering teams on AI-enabled productivity tools for Data Engineering, pipeline optimization, documentation, testing, monitoring, and operational support.
• Ability to communicate complex information to internal and external audiences.
• Assist team members with production issues and offer support, guidance, and assist in communicating issues with appropriate stakeholders when necessary.
• Provides the technical expertise and/or direction for multiple complex projects of a development or technology group.

Benefits

All the benefits and perks you need for you and your family:

• Benefits from Day One: Medical, Dental, Vision Insurance, Life Insurance, Disability Insurance
• Paid Time Off from Day One
• 403-B Retirement Plan
• Whole Person Well-being Resources
• Mental Health Resources and Support
• Pet Benefits
• Schedule Full time Shift Day (United States of America)

Pay

$96,266.14 - $179,045.63

Schedule

Full time Shift Day (United States of America)

Address

902 INSPIRATION AVE, ALTAMONTE SPRINGS, FL 32714