Principal Data Engineer

In-Office or Remote Hiring Remotely in United States Mid level In-Office or Remote Hiring Remotely in United States Mid level Lead product vision and backlog for card servicing experiences; collaborate with UX, architects, and vendors; model architecture with UML; implement CI/CD; ensure API integrations, security, compliance, and testing; use analytics and tooling to measure progress and performance. The summary above was generated by AI, * Set a clear and comprehensive vision for the credit and debit card servicing experiences, based on market analysis, business needs, and technical feasibility.

• Develop, prioritize, and communicate the product backlog to the development team and relevant stakeholders.
• Collaborate with UX/UI experts to ensure the creation of intuitive, user-friendly product experiences.
• Leverage UML modeling to create structural and behavioral diagrams for applications, facilitating a clear understanding of the product’s architecture and functionality.
• Implement and manage robust CI/CD processes to streamline the product development and deployment pipeline.
• Work closely with domain architects and subject matter experts to ensure efficient project development strategies.
• Utilize data analytics to measure development progress and effectiveness against objective key results (OKRs).
• Collaborate with Software Test Engineers to identify areas for automation testing and ensure high-quality products through black-box, functional, regression, and user acceptance testing (UAT). Gather technical requirements for application programming interfaces (APIs), web services, batch jobs, and mobile applications.
• Coordinate with external vendors to ensure smooth API integration and management of API request and response parameters.
• Ensure that products meet all security and compliance standards.
• Implement security best practices and conduct regular security assessments to identify and mitigate potential risks., * Implementing CI/CD processes using Jenkins and GitLab CI/CD to streamline the product development and deployment pipeline;
• Utilizing Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) to deploy scalable and reliable products and services;
• Utilizing Postman and Swagger (OpenAPI) to effectively design, test, and document APIs;
• Utilizing Selenium and TestRail to conduct automated testing for web applications, ensuring efficient and repeatable testing processes;
• Utilizing Datadog to identify and address performance issues and bottlenecks in web applications and services;
• Utilizing Lucidchart, Draw.io, MS Visio, and Visual Paradigm to create flowcharts, diagrams, and visual representations of processes and systems;
• Utilizing Salesforce administration tasks, including user management, security settings, and data access controls, to secure and organize Salesforce environments;
• Utilizing Tableau Prep for data preparation, transformation, cleaning, and structuring;
• Utilizing change management tools, including ServiceNow and Jira Service Management, to facilitate transitions during product implementations and updates; and
• Utilizing Tableau, and Power BI to conduct financial and business analysis.

Master’s degree in Information Technology, Computer Science, or related field and 3 years of experience as Digital Experience Owner, Product Owner, or a closely related position. In the alternative, employer will accept a Bachelor’s degree in the specified fields and 5 years of the specified progressive, post-baccalaureate experience.

Must have at least 3 years of experience with:

• Utilizing Jira, HP Quality Center, TFS - Project Management, and Microsoft Project to efficiently manage tasks, track progress, and ensure successful project execution;
• Utilizing Confluence, Google Docs, and Microsoft SharePoint to effectively document project requirements, designs, and architectural diagrams;
• Utilizing Figma, Sketch, and Adobe XD to create product experiences and visually represent product architecture and functionality through UML modeling;
• Utilizing Splunk, Google Analytics, and Adobe Analytics to gain insights into user behavior and make data-driven decisions to improve product features;
• Utilizing Git, GitHub, and Bitbucket to manage code and promote collaboration among developers