Data Architect - Associate

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.

• 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.

• 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

• 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.

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…