• Design, develop, and maintain advanced dashboards and reports, including embedded analytics within SharePoint and web-based applications • Build and optimize semantic models to support scalable, high-performing analytics • Administer the Power BI environment, including workspace management, dataset refreshes, deployment pipelines, security (RLS), and capacity monitoring • Leverage AI capabilities such as Power BI Copilot to accelerate report development, modeling, documentation, and insight generation • Apply data visualization, UX, and accessibility best practices to deliver intuitive, business-ready analytics experiences. • Design, develop, and maintain Snowflake data models and views optimized for BI and self-service analytics • Write, optimize, and maintain complex SQL for data transformation, performance tuning, and analytics workloads • Utilize Snowflake Intelligence, Cortex, or related AI/ML features to support advanced analytics, data exploration, and automation use cases • Implement automation for data pipelines, quality checks, and reporting workflows using AI-driven or programmatic methods where appropriate • Partner with upstream data engineering and source system teams to support reliable, governed data integration • Serve as a hands-on contributor within the Business Intelligence Analytics, helping define standards, best practices, and reference architecture for analytics and AI-enabled BI • Support data governance, compliance, security, and data quality standards across Power BI and Snowflake environments • Identify and evaluate opportunities to apply AI, automation, and emerging analytics capabilities to improve efficiency and insight delivery • Provide guidance and mentorship to analysts and business users on modeling, visualization, automation, and self-service analytics • Collaborate closely with business stakeholders to translate requirements into scalable, AI-enabled analytics solutions • Communicate insights and technical concepts clearly to non-technical audiences using data storytelling and visualization • Support strategic planning by aligning analytics and automation initiatives with business priorities.

• Implement and deliver on project scopes while working closely with the project management team • Interact with clients using professionalism and promptness • Jointly solve problems through collaboration with team members. • Must provide quality customer service skills in all forms of communication. • Collaborate with other technicians on escalated customer support requests • Document resolutions and build knowledge base articles • Take proactive measures on incidents to help prevent further issues • Troubleshoot advanced problems with a high-level overview of client environments • Engage in continued certification training to improve their skillset.

• Oversee technical direction of 32 microservices across 6 agile teams • Participate in architecture and code reviews of Springboot and Ruby microservices as well as AWS Elastic Kubernetes YAML configurations • Advise on improvements to health and DORA monitors and metrics • Identify and recommend solutions to address scalability, reliability, and availability • Advise executives on strategic technology decisions related to microservices and team capacity • Oversee major deployments and high-risk secret key rotations • Oversee on-call operations

• Working knowledge of contract with owner • Prepare work scopes packages • Organize & maintain cost structure • Help maintain weekly work plans • Document schedule impacts to project • Prepare estimates of DPR’s change order work • Attend and document minutes at owner/architect meeting, subcontractor meeting, and staff meeting • Participate in and apply DPR’s environmental health and safety plan to maintain injury-free environments • Assist foremen and field crews in the execution of the project • Prepare and monitor labor cost reports.