What are the responsibilities and job description for the Solutions Engineer, Data position at Liberty Mutual Insurance Group?
Responsible for the implementation of technology by engineering clear, comprehensive and integrated data solutions which support business plans and long-term strategies in alignment with our North Star Architecture. Collaborate with the Data Office, Digital Employee Experience, Lakehouse Engineering, and Application Development teams to translate business requirements into scalable data solutions. Oversee troubleshooting and resolution of infrastructure compatibility issues, ensuring alignment with systems architecture and customer expectations. Actively participate in incident management, providing expert guidance and consultative recommendations to facilitate effective resolutions. Drive continuous process improvements to enhance operational efficiency and effectiveness. Contribute to strategic decisions impacting both profitability and operational performance. Develop and manage comprehensive technology strategies and roadmaps, prioritizing initiatives to ensure alignment with overall business objectives. Create and maintain clear conceptual and logical architecture diagrams to support solution design and communication. Support Agile squads in adopting new technical solutions while leading the evaluation of technical alternatives and spearheading the development and prototyping of innovative tools and technologies. Participate actively in Data Architecture procedures and policy management to ensure governance and compliance. Bachelor's or master's degree in a technical or business discipline, or equivalent experience; a technical master's degree is preferred. Proficient with cloud data tools and platforms, with extensive knowledge of infrastructure, cloud-based platforms, and development tools. Minimum of 5 years of experience with Python and core AWS services--including, S3, Step Functions, CloudWatch, Lambda, API Gateway, and IAM--along with working knowledge of Azure cloud platforms for authentication. Familiarity with Machine Learning and AI technologies, particularly their application to data. Up-to-date awareness of current data trends and industry developments. Strong knowledge of industry-standard and company-specific data tools such as Databricks, DBT, etc. Proven track record managing complex technical projects with attention to detail and strategic vision. Excellent problem-solving skills and a collaborative mindset, with the ability to work effectively across cross-functional teams. Demonstrated commitment to mentorship and fostering the technical growth of others. Highly developed oral and written communication and presentation skills, with the ability to collaborate effectively at all organizational levels. In-depth knowledge of IT concepts, strategies, methodologies, and emerging technologies, including new architectural concepts and principles. Expertise in Snowflake, including knowledge of upcoming features and opportunities for leveraging them.