Principal Data Engineer

Description We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance.
Our Global Cybersecurity Data and Analytics team is tasked with gathering, processing, and analyzing data to provide meaningful insights for informed decision-making, strategic planning, and operational improvements. We create accurate reports and visualizations that help the organization achieve its objectives, enhance security, and stay competitive.  In addition, the data and analytics teams ensure data quality, compliance with regulations, and effective collaboration across departments. By leveraging advanced techniques and tools, they transform data into actionable intelligence that drives both short-term optimizations and long-term growth. Job IntroductionThe Global Cybersecurity Data and Analytics team is seeking an innovative, collaborative Principal Data Engineer to help build and grow our Data and Analytics practice.  As a member of the team, you will play a crucial role in delivering innovative data-driven solutions that enhance our organization's cybersecurity posture. Under general direction, acts as a technical expert who consults on highly complex projects. Responsible for the analysis, development, and execution of complex data solutions, to manage the information lifecycle needs of an organization. Collects, integrates, and analyzes data with the purpose of drawing conclusions about that information. Develops, constructs, tests, and maintains data architectures for data platforms, databases, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, practice, procedures, governance, and quality assurance for data deliverables. Recommends methods to improve data reliability, quality, and efficiency. Devises or modifies procedures to solve technical problems. Leads and directs the work of team members. May mentor junior team members.
ResponsibilitiesConsults 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.
Builds and designs data architecture that improve accessibility, efficiency, governance, and quality of data.
Collects, cleans, and transforms traditional and big data to ensure data accuracy and accessibility.
Makes recommendations for how to improve data and drives those recommendations forward.
Builds in-depth knowledge of technology enablers.
Documents existing processes, organizational structures, architectures, and external systems.
Contributes to the development and enhancement of solutions for key business outcomes.
Develops interactive and visually appealing data visualizations of large amounts of data to reveal patterns, trends, or correlations.
Provides guidance on capabilities and functionalities of Power BI visualization tools.
Presents to, and educates, a wide range of people on using visualizations. Actively uses AI tools to improve the speed, quality, and scale of work; can point to concrete workflows where AI adds value; critically evaluates and validates AI-generated output; and applies AI responsibly, protecting confidential and customer data. Qualifications Bachelor's or Master's degree in a technical or business discipline or equivalent experience, technical degree preferredGenerally, 8+ years of professional experienceIn-depth knowledge of IT concepts, strategies, and methodologiesIn-depth knowledge of diverse and emerging technologies and new architectural concepts and principlesKnowledgeable in data engineering languages and tools; proficient in new and emerging technologiesIn-depth understanding of layered solutions and designs; in-depth understanding of shared data engineering concepts and product features, as well as security mindedIn-depth knowledge of business operations, objectives, and strategies; in-depth understanding of global business and technology trends and the financial services industryHighly developed negotiation, consensus building & influencing skills, facilitation, and adaptability to respond to change quicklyHighly developed oral and written communication skills; strong presentation skillsAbility to effectively collaborate with all levels of the organizationSolid Python Pandas and SQL programming skills with analytical and critical thinking skills with an understanding of big data technologyAn understanding of machine learning principles, statistics and algorithms. Understanding of Data Warehouse solutions, modeling and governanceExperienceWorking knowledge of AWS, Azure and GCP cloud environmentsPower BI development (DAX and M