Principal Engineer

Technical problem solver: Going far beyond simply developing error-free source code, test scripts, components and system architectures, you'll document and build deployment guides aimed at maintaining robust, relevant applications, integrations and data patterns. Motivated mentor: Exercise your technical chops while coaching and collaborating with junior engineers. Forward thinker: Merely fixing a problem isn't enough - using your proactive mindset and initiative, you'll also identify opportunities to enhance performance, quality and efficiency. Full Stack Development, Software Engineering, back-end application/platform engineering expertise within the digital and data spaces is most needed for this role. Experience with Tealium Tag Management, Tealium CDP, Adobe and Snowflake. These platform/tools are similar to others in the industry, i.e. Ensighten, Google Analytics, Google Tag Management, Content Square, HEAP etc. The PPE supports application and web analytics collection platforms to track and analyze user interactions on Liberty's customer and agent facing websites and applications to optimize digital performance. Experience with tag management platforms like Tealium, or Google Tag Manager (GTM), and Analytics systems such as Adobe Analytics, CJA, Customer Data Platform (CDP), Google Analytics, and solid foundation in JavaScript and back/front-end development is ideal. The PPE will ensure a consistent tagging approach that enables desired reporting while validating tagging and usability within both Adobe Analytics UI as well as raw clickstream data - during feature releases as well as any necessary regression testing. This role requires collaboration with cross-functional teams to define tagging requirements for digital properties, such as websites, mobile apps, and other digital platforms. Additional required skills: backend services (Java Script, AWS SQS, SNS, S3, CDK, Lambda, RESTful APIs, PCF, and Kafka) in addition to Tealium Tag Management System, Adobe Analytics variable mapping, Heap Analytics and Galileo.js (autocapture)/Galileo API. Experience: In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles. Knowledgeable in digital and data engineering languages and tools. In-depth understanding of layered solutions and designs; in-depth understanding of shared data engineering concepts and product features, as well as security minded. Highly developed negotiation, consensus building & influencing skills, facilitation and the adaptability to respond to change quickly. Ability to effectively collaborate with all levels of the organization. Enterprise Business Knowledge: In-depth understanding and helps articulate business operations, key business decisions, and technology implications within a single business process. Identifies business process improvements that address highly complex technology gaps within a single business process. Consult on highly complex technology enabled recommendations to address gaps within a single business process. Scoping and Planning: Documents existing processes, organizational structures, architectures and external systems. Selects the appropriate tools to prepare deliverables; participates in the development of tools and methodologies and adapts them to the organization environment. Tools and Programs: Consults on designing and developing complex programs and tools to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science. Involved in and contributes to development and enhancement of solutions for gaps. Design and Build: Designs, data models and builds complex data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations. Designs and builds complex data architecture and applications that enable reporting, analytics, data science, and data management and improves accessibility, efficiency, governance, processing, and quality of data. Deploy/Implementation: Supports the Solutions Engineer in implementation. Support can include but is not limited to; cutover plans, post-implementation support, any issues/defects, transition planning, and knowledge sharing efforts. Bachelor's or master's degree in computer science, technical or business discipline, or equivalent experience. Minimum 8+ years of experience delivering solutions in large, distributed technical ecosystems using agile practices such as Scrum, Kanban, or XP. Experience working with micro services and cloud platforms (AWS) Proficient with Java, Spring Boot, REST, Kafka, Kubernetes, microservices, testing concepts & frameworks, DevOps tools, and CI/CD pipelines such as Bamboo/GitHub Actions/Jenkins. Bachelor's or master's degree in computer science, technical or business discipline, or equivalent experience. Minimum 8+ years of experience delivering solutions in large, distributed technical ecosystems using agile practices such as Scrum, Kanban, or XP. Experience working with micro services and cloud platforms (AWS) Proficient with Java, Spring Boot, REST, Kafka, Kubernetes, microservices, testing concepts & frameworks, DevOps tools, and CI/CD pipelines such as Bamboo/GitHub Actions/Jenkins. Responsible for the analysis, development and execution of complex software and data solutions, to manage the information lifecycle needs of the organization. Develops, models, constructs, tests and maintains applications and data architectures for data collection, database, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, practice, procedures, governance and quality assurance for data deliverables. Analyze and develop complex data solutions and act as a technical expert for complex data initiatives across the portfolio Builds and designs complex data models and data architecture that improve accessibility, efficiency, governance, and quality of data. Collaborate with TTT on LTAs on existing & new design patterns, as needed Actively participate in portfolio agile ceremonies (PI Planning, Sprint Planning, Backlog grooming, Sprint Reviews) and guide the product teams Proactively identify opportunities to enhance data pipelines, processes and make recommendations to improve management of data & reduce costs and drive those forward Lead and direct team members, mentor data engineers across the portfolio & upskill talent. Ensure the portfolio teams consistently follow established best practices and standards, identify gaps in our processes & document to streamline and enable product teams to develop efficiently Collaborate & support the Solutions Engineer in design, backlog refinement, capabilities, developing Technology roadmaps, implementation, cutover plans, post-implementation support, any issues/defects, transition planning, and knowledge sharing efforts Actively participate by contributing topics of interest & actioning items coming out of the various forums (BDSE Dev User, DV, Testing Guild, Tech Roundtables, Leadership) and improve engineering user experience