Data Architect III

4 days ago

🌲 Oregon – Remote

Although this job is listed in Oregon, this company may be open to hiring remote in other states.

💵 $127.6k - $150.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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SAIF Corporation

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SAIF Corporation is Oregon’s not-for-profit workers' compensation insurance company, dedicated to providing exceptional and affordable coverage to employers and workers in Oregon. Established in 1914, SAIF aims to make Oregon the safest and healthiest place to work by minimizing workplace injuries and maintaining low workers' compensation costs. They offer resources and training to support workplace safety and health for their clients.

Industry leader in workers'​ compensation insurance • workplace safety • claims management

501 - 1000 employees

Founded 1914

⚕️ Healthcare Insurance

🤝 B2B

📋 Description

• Design and implement scalable data architectures that effectively leverage cloud-based data storage and processing platforms. • Develop data models, including logical and physical design, to ensure data governance and data quality standards are met and upheld. • Identify opportunities for process improvement and implements changes to improve efficiency, accuracy and scalability of data systems and processes. • Design data architectures for data engineers and data scientists to assist them in building and optimizing our data assets to be innovative industry leaders. • Design and develop medallion data architecture leveraging technology like Databricks and Snowflake. • Design, build and maintain semantic data layers for ingest by BI applications. • Develop best practices for data architecture, data modeling, and data management. • Create and document data architecture development standard. • Incorporate new and existing subject areas into an enterprise model. • Provide direction for data verification and testing methods. • Review data loaded into the data warehouse and data lake for accuracy. • Lead and coordinate the work of other less experienced decision support team members. • Work with data engineers and data scientists to assist with data-related technical issues and support their data infrastructure needs. • Conduct research into new technologies and determine viability for adoption. • Provide technical guidance and mentorship to other team members. • Explore diverse perspectives and consistently behave sensitively toward differences in cultural norms, expectations, and ways of communicating. • Work effectively with others who have different perspectives, backgrounds, and/or work styles. • Continually sustain the Inclusive Leadership Competencies (ILC) through the Explorer level on an annual basis.

🎯 Requirements

• Five or more years of experience in data architecture, data modeling, and data management utilizing tools like SQL Server, Oracle, Databricks and Snowflake. • Demonstrated experience supporting and working collaboratively in cross-functional teams, including conveying technical messages to non-technical stakeholders and team members.

🏖️ Benefits

• Health care • Retirement savings plans • Paid time off • More