Cloud Data Platform Architect

AdventHealth; Florida; On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Benefits from Day One (medical, dental

Paid Time Off from Day One

403-B Retirement Plan

Parental Leave

Career Development

Well-being Resources

Mental Health Resources

Pet Benefits

Job summary

AdventHealth in Florida is seeking a data engineer to design, implement, test, deploy, and support cloud-based data pipelines using Azure services and Snowflake. You will work with stakeholders to translate requirements into scalable, secure data products and support analytics across the organization.

The role emphasizes full lifecycle data management, AI capabilities adoption, and collaboration with data warehousing, BI, and analytics teams to improve data quality and platform automation.

Qualifications

• Proficiency with SQL.
• Understanding distributed computing with Spark, NiFi, Azure Data Factory and Snowflake.
• Experience managing CI/CD pipelines in Azure DevOps or GitHub.
• Experience with automation patterns in a Cloud DevOps model.
• Full stack design in Azure and Snowflake for production alignment.
• Knowledge of Big Data tools and data formats (Parquet/AVRO/ORC/CSV/JSON).

Responsibilities

• Designs, builds, tests, deploys, and maintains data pipelines on Azure Cloud.
• Leverages Azure Data Factory, Azure Functions, and Snowflake to deliver scalable data products.
• Implements security, governance, and data quality across the pipeline.
• Collaborates with BI, analytics, and product teams to satisfy data needs.
• Leads AI feature evaluation within Cloud Data Platform to improve productivity.

Skills

SQL Proficiency

Azure Data Factory

Azure Functions

Snowflake

CI/CD Pipelines

Cloud DevOps

Big Data

AI Capabilities

Data Engineering

Communication

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 audiences. [Required]
• Assist team members with production issues and offer support, guidance, and assist in communicating issues with appropriate stakeholders when necessary. [Required]
• Provides the technical expertise and/or direction for multiple complex projects of a development or technology group. – reword as a business partner to other groups. [Required]
• Develops