Cloud Data Platform Architect

Team Member Services; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

AdventHealth is seeking a data engineer to design, implement, test, deploy, and support data pipelines on Cloud infrastructure with Azure services and Snowflake. You will build scalable, serverless data solutions using Azure Data Factory, Azure Functions, and Databricks, ingesting data from RDBMS, NoSQL, files, Kafka, and more.

You will collaborate with security and analytics teams to ensure governance, performance, and reliability across the platform.

Qualifications

• Proficiency with SQL required.
• Understanding of distributed computing and big data tools.
• Experience with CI/CD pipelines in cloud environments.
• Knowledge of Cloud DevOps principles and automation.
• Full-stack design within Azure and Snowflake ecosystems.
• Familiarity with Big Data tech (Spark, NiFi, Impala, Sqoop, Hive).
• Experience with Snowflake Cortex and AI features is a plus.

Responsibilities

• Designs, implements, tests, deploys, and supports data pipelines in Cloud and Azure.
• Develops scalable, maintainable serverless solutions using Azure Data Factory, Azure Functions, and Databricks.
• Ensures data ingestion from RDBMS, NoSQL, files, Kafka, and big data tools.
• Collaborates with stakeholders and security teams to enforce standards.
• Builds monitoring tools with Cloud admins for performance and high availability.
• Leads AI-enabled data product initiatives within the Cloud Data Platform.

Skills

SQL proficiency

Distributed computing

CI/CD pipelines

Cloud DevOps

Azure plus Snowflake stack

Big Data technologies

AI-enabled productivity tools

Tools

Azure Data Factory

Azure Functions

Snowflake

Databricks

Azure DevOps

GitHub

Job description

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.

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


• 4 Weeks 100% Paid Parental Leave


• Career Development


• Whole Person Well-being Resources


• Mental Health Resources and Support


• Pet Benefits

Schedule:

Full time

Shift: Day (United States of America)

Address: 902 INSPIRATION AVE

City: ALTAMONTE SPRINGS

State: Florida

Postal Code: 32714

Job Description:

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.

Knowledge, Skills, and Abilities:

• See the big picture concerned data analytics landscape, tools, solutions, and business goals. [Required]


• Proficiency with SQL. [Required]


• Understanding of distributed computing paradigm and working knowledge in technologies like Spark, Impala, NiFi, Azure Data Factory, Azure Functions and Snowflake. [Required]


• Expert in managing code and dependencies, building and maintaining CI/CD pipelines in Azure DevOps/ GitHub along with other Configuration management best practices. [Required]


• Ensure alignment with our Cloud DevOps model based on 100% automation and adoption of repeatable patterns that can be leveraged across the organization. [Required]


• 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. [Required]


• Good understanding of Big Data technologies like Spark, NiFi, Impala, Sqoop, Hive and File formats like Parquet, AVRO, ORC, CSV, JSON. [Required]


• Working knowledge of Snowflake Cortex, Cortex AI functions, Cortex Search, Cortex Analyst, Cortex Code Assistant, and emerging Snowflake AI capabilities. [Preferred]


• Understanding of AI cost drivers, including token usage, model selection, warehouse consumption, data volume, prompt design, and repeated processing patterns. [Preferred]


• Ability to design AI-ready data products, curated datasets, semantic layers, and metadata-driven frameworks that support reliable analytics and AI adoption. [Preferred]


• Ability to research, evaluate, and educate engineering teams on AI-enabled productivity tools for Data Engineering, pipeline optimization, documentation, testing, monitoring, and operational support. [Preferred]


• Ability to communicate complex information to internal and external