Intermountain Health is looking to design, implement, and maintain both traditional and modern data infrastructures at the staff level, requiring a Data Architect – Senior to create scalable, efficient, and secure data solutions, lead enterprise-level data integration strategies, and ensure data quality and performance across the organization.
Requirements
- Advanced proficiency with SQL and extensive experience with traditional RDBMS (e.g., Oracle, SQL Server, PostgreSQL).
- Significant experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture and storage solutions.
- Deep familiarity with programming languages such as Python and PySpark for data engineering tasks.
- Comprehensive knowledge of ETL/ELT processes and tools, including both traditional (e.g., SSIS, Informatica) and cloud-native solutions (e.g., Azure Data Factory, Databricks).
- 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.
Responsibilities
- Responsible for designing, implementing, and maintaining both traditional and modern data infrastructures at the staff level.
- Combines deep expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions.
- Leads the development of enterprise-level data integration strategies, ensuring data quality and performance across the organization
- Responsible for running moderate to complex projects independently and mentoring staff-level architects/engineers, ensuring the successful delivery of data models, pipelines, and warehouses across cloud and on-premise systems
- Data architecture and design
- Experience with Databricks
- Cloud infrastructure and data solutions
Other
- We are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington.
- Exceptional communication skills for collaborating with stakeholders and teams.
- Advanced knowledge of 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.
- Demonstrated ability to stay updated on industry trends and advancements.
- Proven experience in providing mentorship and guidance to junior architects.
