Hybrid Data Architect III

at SAIF Corporation

• Job title: Data Architect III
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $127,619 - $150,140 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Oracle, SQL
• Location requirements: Hybrid, United States

About the role

• Data Architect designing scalable data infrastructures for SAIF's analytics team. Collaborating with engineers and scientists to ensure effective data management and implementation.

Responsibilities

• 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 implement 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.
• Bachelor’s degree in computer science, information technology, or a related field. Other combinations of skills and experience may be considered.

Benefits

• Health care
• Retirement savings plans
• Paid time off
• Eligibility and cost of benefits can vary depending on hours worked and job status