Lead Data Engineer - Remote - job 1 of 2

This position is posted by Jobgether on behalf of Arch Capital Services LLC. We are currently looking for a Lead Data Engineer in the United States.

We are seeking a highly skilled Lead Data Engineer to drive the design, implementation, and management of advanced data solutions. In this role, you will lead a team of engineers, ensure adherence to data governance and quality standards, and collaborate with stakeholders to align technical initiatives with business objectives. You will provide mentorship, establish best practices, and oversee complex data projects from planning to execution. This role offers the opportunity to shape data strategy, improve analytics capabilities, and foster a culture of data-driven decision-making within a collaborative and innovative environment.

Accountabilities

• Team Leadership & Mentorship – Lead a team of engineers, QA specialists, and business analysts, providing guidance through design reviews, code reviews, and knowledge-sharing initiatives.
• Technical Design & Architecture – Oversee the technical architecture and engineering practices for new implementations, ongoing operations, and day-to-day support.
• Data Governance & Quality – Ensure compliance with data governance, security, and quality standards; create team-specific standards where necessary.
• Stakeholder Collaboration – Work closely with product owners, managers, and stakeholders to align data initiatives with product roadmaps and organizational goals.
• Project Management – Manage timelines, milestones, and deliverables for data projects, identifying risks and proposing mitigation strategies.
• Data Literacy Promotion – Foster a collaborative culture by encouraging data literacy and self-service analytics across the organization.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 7+ years of experience in data engineering or data architecture roles.
• Strong proficiency in SQL (MSSQL or Snowflake preferred) and ETL platforms such as SSIS, Azure Data Factory, or Informatica.
• Demonstrated experience leading technical teams and managing complex data projects.
• Excellent communication and stakeholder management skills.
• Experience in Agile methodologies and DevOps practices is a plus.
• Insurance industry experience is preferred but not required.

• Competitive base salary: $130,000 – $175,000/year, incentive eligible.
• Comprehensive health coverage including medical, dental, vision, and prescription drug plans.
• Generous 401(k) with matching contributions.
• Paid time off starting at 20 days per year, up to 12 company holidays, plus 2 Volunteer Time Off days.
• Basic Life and AD&D insurance, Short and Long-Term Disability coverage.
• Paid Parental Leave up to 10 weeks.
• Student Loan Assistance, Tuition Reimbursement, and Backup Child & Elder Care.
• Opportunity to work remotely with flexibility, while participating in onsite interviews as needed.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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