[Remote] Manager, Data Engineer (Remote)

Note: The job is a remote job and is open to candidates in USA. Arch Capital Group Ltd. is a company focused on collaboration, expertise, and innovation, aiming to enable progress for its clients and communities. The Manager of Strategic Analytics Services will lead the delivery of complex data pipelines, ensuring analytics are central to business processes while guiding a team of data engineers and collaborating with stakeholders to shape scalable data solutions.ResponsibilitiesLead delivery of high-quality data solutions by partnering with stakeholders and coaching data engineersOwn end-to-end data engineering delivery across the project lifecycleBuild strong partnerships across the organization to align priorities and deliver data-related goalsDesign clear, analytics-ready data structures by anticipating downstream analytical needsEvaluate and adopt new technologies and data sources to improve capability and efficiencyAutomate data ingestion and integration to reliably connect internal and external data sourcesDocument data sources, definitions, and technical solutions to support transparency and reuseReinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring)Apply agentic, AI-assisted coding practices to accelerate delivery while maintaining appropriate controlsBuild agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed accessProvide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when neededSkills6+ years' experience of hands-on development in Python and distributed processing environments (e.g., Spark)2–3+ years of technical leadership or project delivery ownership experienceHands-on Databricks experience highly preferredCollege degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalentStrong programming expertise in Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practicesApache Spark proficiency (PySpark preferred) and experience with distributed data processing, including building scalable pipelines and optimizing performance for large-scale datasetsCloud data platform proficiency (Snowflake, Databricks, Azure ecosystem fundamentals)Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)Data quality and observability practices (testing, reconciliation, monitoring)Insurance data modeling for analytics and actuarial-ready data structuresMLOps familiarity supporting operationalized analytics and modelsSemantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)Business definition standardization for reuse across BI and AI use casesSelf-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team buildingStrong problem-solving and critical thinking skills, including the ability to decompose complex challengesClear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environmentsBenefitsComprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverageA competitive 401k with generous matchingPTO beginning at 20 days per yearUp to 12 paid company holidays per year plus 2 paid days of Volunteer Time OfferBasic Life and AD&D Insurance as well as Short and Long-Term DisabilityPaid Parental Leave of up to 10 weeksStudent Loan Assistance and Tuition ReimbursementBackup Child and Elder CareCompany OverviewArch is a leading global insurer with operations in more than a dozen countries. It was founded in 1995, and is headquartered in Hamilton, Hamilton, BMU, with a workforce of 5001-10000 employees. Its website is https://www.archgroup.com.