Offer summary

Qualifications:

Basic proficiency with SQL and experience with traditional RDBMS like Oracle or SQL Server., Introductory experience with cloud platforms such as AWS or Azure for data architecture., Familiarity with programming languages like Python and PySpark for data engineering tasks., Bachelor’s degree in Computer Science, Data Science, or a related field is preferred. .

Key responsibilities:

Design, implement, and maintain traditional and modern data infrastructures.

Develop strategies for integrating enterprise data and ensuring data quality.

Work on moderate to complex projects under the mentorship of senior data architects.

Deliver robust data models, pipelines, and warehouses using technologies like SQL and Python.

Job description

Job Description:

The purpose of the Data Architect - Associate role is to design, implement, and maintain both traditional and modern data infrastructures. This role combines expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions. The Data Architect - Associate develops strategies for integrating enterprise data, ensuring data quality, and optimizing data access across both cloud and on-premise systems. They work on moderate to complex projects and are 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



Essential Functions

Responsible for designing, implementing, and maintaining both traditional and modern data infrastructures at an entry 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

Physical Requirements:

Qualifications

Minimum Qualifications

Basic proficiency with SQL programming and experience with traditional RDBMS (e.g., Oracle, SQL Server, Postgres, Snowflake, Databricks).
Introductory experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture and storage solutions.
Familiarity with programming languages such as Python and PySpark for data engineering tasks.
Foundational knowledge of ETL/ELT processes and tools, including both traditional (e.g., SSIS, Informatica) and cloud-native solutions (e.g., Azure Data Factory, Databricks).
Basic proficiency with Python or PySpark or R programming
Developing 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

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field from an accredited institution.
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:

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

$35.29 - $55.57

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.

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.

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