• Collaborate with product managers and business stakeholders to understand complex business requirements to translate business needs into well-designed and maintainable solutions • Ensure data quality and reliability by implementing robust data quality checks, monitoring, and alerting to ensure the accuracy and timeliness of all data pipelines • Create data governance policies and develop data models and schemas optimized for analytical workloads • Influence the direction for key infrastructure and framework choices for data pipelining and data management • Manage complex initiatives by setting project priorities, deadlines, and deliverables • Collaborate effectively with distributed team members across multiple time zones, including offshore development teams • Build relationships and foster team cohesion across geographical and cultural boundaries

• Architects, designs, develops, implements and supports various components for the enterprise data warehouse and associated data sources. • Provides support for reporting projects, as well as process and architectural recommendations. • Mentors staff, demonstrates best practices, plans for business continuity and sustainability and works on projects that support Business Intelligence and Data Warehousing functions. • Develops data integration and transformation processes across on premise and cloud data sources using tools, including Oracle Data Integrator, Boomi Atmosphere, Informatica, as determined by the environment. • Works with the user community and reporting team to understand business data and data transformation requirements. • Converts requirements to functional and technical specifications for database and integration design. • Manages requests and/or components of larger projects with appropriate documentation and status reports. • Develops data models and database designs that leverage knowledge of data warehouse modeling best practices. • Provides leadership and serves as a subject matter expert. • Collaborates with other team members using scrum processes or other project management disciplines. • Follows best practices for change and code management. • Provides supporting technical documentation that is well written, organized and maintained. • Participates in ongoing stabilization, support and maintenance. • Provides on call support as needed for business continuity and operations. • Attends webinars, reads case studies and white papers, and participates in opportunities to further refine skills and stay apprised on functional area topics. • Maintains current knowledge of technology, equipment, and/or systems and advises on newer technologies.

• Work with the engineering team to create the data infrastructure • Maintain the data infrastructure in AWS • Work with the business users to understand their reporting requirements • Create reports and other forms of data access and visualization • Develop test infrastructure to maintain data integrity • Lead implementation of a BI system, such as Tableau • Create and maintain data-driven automation pipelines

• Designs, builds, and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store, and utilize structured and unstructured data • Contributor to the overall Data Product roadmap by working closely with our business partners to understand their challenges and develop analytical tools to help drive business decisions • Develops technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize and transform data • Leverage prototyping methodologies to propose and design creative business solutions that exploit our broad toolset of technologies • Creates and establishes design standards and assurance processes for software, systems, and applications development • Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage • Design, develop, and maintain CI/CD pipelines using GitHub Actions to automate deployment, testing, and monitoring of applications. • Implement and manage serverless solutions • Implement infrastructure as code (IaC) practices • Work with development teams to set up automated testing frameworks • Understands the basics of relational data modeling