Principal Data Engineer

Pay Philosophy

To be considered for an interview, please make sure your application is full in line with the job specs as found below.

The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location.

The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role.

Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and / or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

Description

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, in order to manage the information lifecycle needs of an organization.

Collects, integrates and analyzes organizational data with the purpose of drawing conclusions about that information. Develops, constructs, tests and maintains data architectures for data platform, 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.

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

Builds and designs complex data models and data architecture that improve accessibility, efficiency, governance and quality of data.

Makes recommendations for how to improve data and drives those recommendations forward. Identifies business process improvements that address highly complex technology gaps within a single business process.

Builds in-depth knowledge of technology enablers. Consult on highly complex technology enabled recommendations to address gaps within a single business process.

Proactively identifies potential impact on business strategy. Documents existing processes, organizational structures, architectures and external systems.

Consults on designing and developing of 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. 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.

Qualifications

• Bachelor or Master’s degree in technical or business discipline or equivalent experience, technical degree preferred
• Generally 8+ years of professional experience
• In-depth knowledge of IT concepts, strategies and methodologies
• In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles
• Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies
• In-depth understanding of layered solutions and designs; in-depth understanding of shared data engineering concepts and product features, as well as security minded
• In-depth knowledge of business operations, objectives and strategies; in-depth understanding of global business and technology trends and the financial services industry
• Highly developed negotiation, consensus building & influencing skills, facilitation and the adaptability to respond to change quickly
• Highly developed oral and written communication skills; strong presentation skills
• Ability to effectively collaborate with all levels of the organization

Essential Skills :

• Expert knowledge of the ACORD XML canonical model.
• Experience with ACORD.org.
• Experience participating on XML governance.
• Expert in commercial insurance policy applications and their data uses.
• Expert understanding of data mapping methodologies, frameworks, and documentation.
• Experience with data mapping.

About Us

This position may have in-office requirements depending on candidate location.

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect.

Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.

Liberty Mutual has proudly been recognized as a "Great Place to Work" by Great Place to Work US for the past several years.

We were also selected as one of the "100 Best Places to Work in IT" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates as well as one of America's Best Employers for Diversity.

To learn more about our commitment to diversity and inclusion please visit : https : / / jobs.libertymutualgroup.com / diversity-inclusion

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being.

To learn more about our benefit offerings please visit : https : / / LMI.co / Benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

Fair Chance Notices

• California
• San Francisco
• Los Angeles
• Philadelphia

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