Principal Data Engineer - GCS Data & Analytics

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.

Hiring Manager: Matt Prezbindowski

Job Introduction

The 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.

Responsibilities

• 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.
• 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.