Senior Data Solutions Engineer – Analytics & AI

Liberty Mutual Fire Insurance Co.

Boston (MA)

On-site

USD 137,000 - 257,000

Full time

3 days ago

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Job summary

Liberty Mutual Fire Insurance Co. in Boston seeks a Solutions Engineer to design and implement complex data solutions across ingestion, curation and provisioning of enterprise data to enable analytics and data science.

The role requires deep expertise in data architecture, data modeling and modern tooling (Snowflake, Python, SQL, PowerBI) and the ability to lead cross-functional teams and deliver high-impact data products with minimal supervision.

Qualifications

Bachelor's or Master's degree in technical or business discipline or equivalent experience.
Generally, a minimum of 10 years related experience.
SnowPro Core certification or 3+ year’s experience with Snowflake administration and engineering. Experience with Snowflake Cortex preferred.
In-depth knowledge of AWS Airflow architectural design and implementation.
Advanced knowledge of Github Copilot and experience leveraging it to build AI assisted workflows.
Advanced knowledge of data architecture patterns, data modeling, normalization and ingest. Experience in working with Cybersecurity domain data sources is preferred.
Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies. Experience with Python, Lucid Charts, AWS, Coligo, ServiceNow, Claude Code, PowerBI and SQL are preferred
Proven ability to design and deliver data products with limited guidance and supervision.
In-depth understanding of layered solutions and designs; in-depth understanding of shared data engineering concepts and product features, as well as security minded

Responsibilities

Consults on designing and developing programs and tools to support ingestion, curation and provisioning of highly complex enterprise data to achieve analytics, reporting, and data science.
Involved in and contributes to development and enhancement of solutions for gaps.
Responsible for designing and building highly complex data models and data architecture that improve accessibility, efficiency, governance and data quality that directly impact business results.
Understands and develops business process improvements that address the most complex technology gaps within a single business process.
Develops technology enabled recommendations to address gaps within a single business process.
Proactively identifies potential impact on business strategy and recommends potential solutions as necessary.
Documents existing processes, organizational structures, architectures and external systems.
Consults on the appropriate tools to prepare deliverables; participates in the development of tools and methodologies and adapts them to the organization environment.
Manages peer to peer relationships, with colleagues, vendors and external contractors, including offshore functions.
Assists with development and execution of cutover plans for simple processes.
Assists in post-implementation support, resolving issues and raising defects to appropriate level.
Executes transition plan for area of responsibility to the appropriate resource for each phase of the project or initiative.
Transitions the knowledge sharing and transfers ownership to other resources or teams for key deliverables and business processes across a module.