Data Architect - Staff

Posted Yesterday
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Lake Park, FL, USA
In-Office
44-70 Hourly
Mid level
Healthtech
The Role
Designs, implements, and maintains traditional and cloud-based data infrastructures. Develops enterprise data integration strategies, data models, pipelines, warehouses, ETL/ELT processes, and governance practices. Optimizes databases and data access across cloud and on-premises environments while ensuring scalability, security, and quality. Collaborates with stakeholders and applies project or program management methods to deliver data architecture solutions using SQL, Python, PySpark, cloud platforms, and big data technologies.
Summary Generated by Built In

Job Description:

The purpose of the Data Architect - Staff role is to design, implement, and maintain both traditional and modern data infrastructures at the staff level. This involves combining expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions. The role also includes developing strategies for integrating enterprise data, ensuring data quality, and optimizing data access across both cloud and on-premise systems

We are committed to offering flexible work options where approved and stated in the job posting. However, we are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, Maine, Massachusetts, Minnesota, New York, Pennsylvania, Rhode Island, Virginia, Vermont, Washington.

 

Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings

Essential Functions

  • Responsible for designing, implementing, and maintaining both traditional and modern data infrastructures at the staff level.
  • Combines expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions.
  • Develops strategies for integrating enterprise data, ensuring data quality, and optimizing data access across both cloud and on-premise systems.
  • Works on moderate to complex projects and is mentored by senior-level data architects/engineers to deliver robust data models, pipelines, and warehouses that meet organizational needs using technologies like SQL, Python, PySpark, and traditional RDBMS platforms

Skills

  • Data architecture and design
  • Cloud infrastructure and data solutions
  • ETL/ELT development and data integration
  • Database and performance optimization
  • Data modeling and documentation
  • Coding/Programming
  • Data governance and security
  • Collaboration and stakeholder management
  • Leadership and project management

Qualifications

Minimum Qualifications

  • Proficiency with SQL and experience with traditional RDBMS (e.g., Oracle, SQL Server, PostgreSQL).
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture and storage solutions.
  • Strong familiarity with programming languages such as Python and PySpark for data engineering tasks.
  • Working experience with ETL/ELT processes and tools, including both traditional (e.g., SSIS, Informatica) and/or cloud-native solutions (e.g., Azure Data Factory, Databricks).
  • Proficiency with Python or PySpark or R programming
  • Excellent communication skills for collaborating with stakeholders and teams.
  • Proficiency in Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data architecture projects to ensure alignment with business goals and efficient execution.

Preferred Qualifications

  • A Master’s Degree in an analytics-related field such as information systems, data science / analytics, statistics, computer science, mathematics. 
  • or  
  • 4 years of professional experience in analytics role in an analytics-related field such as statistics, mathematics, information systems, computer science, data science / analytics.   
  • or
  • Bachelors degree in an analytics-related field such as information systems, data science / analytics, statistics, computer science, mathematics. With 2 years of experience
  • Experience with Databricks, Apache Spark, and Delta Lake for real-time and batch data processing.
  • Proficiency in data streaming technologies such as Kafka, AWS Kinesis, or Azure Event Hubs.
  • Experience working with APIs to retrieve and integrate data from external systems.
  • Experience developing APIs to provide data as a product.
  • Familiarity with CI/CD pipelines for data engineering workflows.
  • Knowledge of data governance frameworks and compliance standards (e.g., GDPR, HIPAA).
  • Familiarity with business intelligence tools such as Tableau, Power BI, or Looker for delivering insights from data architectures

Physical Requirements

  • Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.

Location:

Lake Park Building

Work City:

West Valley City

Work State:

Utah

Scheduled Weekly Hours:

40

The hourly range for this position is listed below. Actual hourly rate dependent upon experience. 

$44.36 - $69.85

We care about your well-being – mind, body, and spirit – which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.


Learn more about our comprehensive benefits package here.


By applying for a position with Intermountain, I acknowledge that I will comply with all applicable Intermountain policies and expectations. If applying for a remote or hybrid role, this includes remote work expectations related to confidentiality, information security, work schedules, conflicts of interest, and use of company equipment. I further acknowledge that outside employment or activities may not interfere with job responsibilities or create a conflict of interest with Intermountain. Actual or reasonably perceived conflicts may be grounds for disqualification from consideration or, if hired, corrective action up to and including termination of employment.


Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.


At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process.


All positions subject to close without notice.


Skills Required

  • Proficiency with SQL and traditional relational databases such as Oracle, SQL Server, or PostgreSQL
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture and storage
  • Strong familiarity with Python and PySpark for data engineering tasks
  • Experience with ETL/ELT processes and tools, including SSIS, Informatica, Azure Data Factory, or Databricks
  • Proficiency in Python, PySpark, or R programming
  • Excellent communication skills for collaborating with stakeholders and teams
  • Proficiency in Product Management, Project Management, or Program Management philosophies and methodologies
  • Master's degree in an analytics-related field such as information systems, data science, statistics, computer science, or mathematics
  • Four years of professional experience in an analytics-related field such as statistics, mathematics, information systems, computer science, or data science
  • Bachelor's degree in an analytics-related field with two years of experience
  • Experience with Databricks, Apache Spark, and Delta Lake
  • Proficiency in data streaming technologies such as Kafka, AWS Kinesis, or Azure Event Hubs
  • Experience working with APIs to retrieve and integrate external data
  • Experience developing APIs to provide data as a product
  • Familiarity with CI/CD pipelines for data engineering workflows
  • Knowledge of data governance frameworks and compliance standards such as GDPR or HIPAA
  • Familiarity with Tableau, Power BI, or Looker

Intermountain Healthcare Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intermountain Healthcare and has not been reviewed or approved by Intermountain Healthcare.

  • Healthcare Strength Healthcare Strength: Feedback suggests medical, dental, and vision coverage are comprehensive with multiple plan options, in‑network advantages, and supplemental protections like life, disability, and adoption coverage. Premium assistance and access to Intermountain’s network add perceived value.
  • Wellbeing & Lifestyle Benefits Wellbeing & Lifestyle Benefits: Feedback suggests wellness resources such as Be Well/LiVe Well and the Employee Assistance Program provide meaningful support for physical and mental health. Reward dollars, peer support, and spouse/partner participation are highlighted as useful features.
  • Leave & Time Off Breadth Leave & Time Off Breadth: Feedback suggests paid time off is broadly available and viewed as generous in some programs. Examples note substantial vacation and sick time for certain roles, supporting schedule flexibility.

Intermountain Healthcare Insights

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The Company
HQ: Salt Lake City, UT
19,912 Employees
Year Founded: 1975

What We Do

Intermountain Healthcare is a not-for-profit system of hospitals, surgery centers, doctors, and clinics that serves the medical needs of Utah, Idaho, Nevada, Colorado, Montana, and Kansas. Key medical services include cancer, heart, women and newborns, orthopedics, sports medicine, and more.

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