Manager, Data Engineer (Remote)

Job Summary

Strategic Analytics at Arch is a growing team at the forefront of the company’s AI transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across the enterprise.

Responsibilities

• Lead delivery of high-quality data solutions by partnering with stakeholders and coaching data engineers.
• Own end-to-end data engineering delivery across the project lifecycle.
• Build strong partnerships across the organization to align priorities and deliver data-related goals.
• Design clear, analytics-ready data structures by anticipating downstream analytical needs.
• Evaluate and adopt new technologies and data sources to improve capability and efficiency.
• Automate data ingestion and integration to reliably connect internal and external data sources.
• Document data sources, definitions, and technical solutions to support transparency and reuse.
• Reinforce 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 controls.
• Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access.
• Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.

Desired Skills

• Data Engineering
• Strong programming expertise in Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices
• Apache Spark proficiency (PySpark preferred) and experience with distributed data processing, including building scalable pipelines and optimizing performance for large-scale datasets
• Cloud 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)
• Analytics & AI Readiness
• Insurance data modeling for analytics and actuarial-ready data structures
• MLOps familiarity supporting operationalized analytics and models
• Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)
• Business definition standardization for reuse across BI and AI use cases

Required Skills

• 6+ 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 experience
• Hands-on Databricks experience highly preferred

Education

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.

Benefits

• Multiple medical plans plus dental, vision and prescription drug coverage
• A competitive 401k with generous matching
• PTO beginning at 20 days per year
• Up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer
• Basic Life and AD&D Insurance as well as Short and Long-Term Disability
• Paid Parental Leave of up to 10 weeks
• Student Loan Assistance and Tuition Reimbursement
• Backup Child and Elder Care
• More details available on available benefits