Top Senior Level Data & Analytics Jobs in Phoenix, AZ

The Senior Data Engineer will design, build, and maintain scalable data pipelines on cloud infrastructure. They will collaborate with cross-functional teams on data analytics and business intelligence initiatives, requiring expertise in SQL, ETL pipeline development, and cloud platforms.

The Splunk/Cribl Architect will lead the design and implementation of an enterprise data analytics suite for federal customers, focusing on Splunk and Cribl technologies. Responsibilities include architecting hybrid cloud/on-prem solutions, maintaining and administering systems, and collaborating with SOC teams to drive security content requirements.

As a Senior Analytics Engineer, you will build and maintain data models and the analytics stack. Responsibilities include writing SQL for DBT, collaborating on data models, troubleshooting and scaling reports, and applying software engineering practices to enhance data discovery and organization.

The Workday Functional Analyst will design, develop, and maintain Workday modules, support HRIS initiatives, configure business processes, develop reports, provide technical system support, and participate in project management. The role requires collaboration with cross-functional teams to enhance Workday's functionality and ensure data integrity.

As a Data Engineer, you will manage data transfers and ensure the security and health of the infrastructure while utilizing ETL technologies. Responsibilities include automating configuration management, developing solutions for data challenges, and engaging with teams to drive innovation in data architectures.

As a Data Engineer at Strike, you'll build and maintain scalable data pipelines, collaborate with analysts, improve data infrastructure, and educate the business on best data practices while supporting a fast-paced startup environment.

The Senior Data Conversion Consultant - Programmer collaborates with higher education clients and internal teams to implement Jenzabar software and transform legacy data using SQL. Responsibilities include developing SQL scripts, managing project timelines, and maintaining effective communication with clients. This role requires T-SQL expertise and data validation participation.