Job Details

Lead Data Engineer

With a company culture rooted in collaboration, expertise, and innovation, we aim to promote progress and inspire our clients, employees, investors, and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, we enable possibility.

We are seeking a highly skilled and motivated Lead Data Engineer to oversee the technical design and implementation of data solutions, champion best practices in data management, and lead a team of developers. This role is critical in ensuring that our data initiatives align with business goals and that robust technical plans are in place to support our roadmap.

We are seeking a remote employee based in either the Raleigh, NC or Jersey City, NJ areas. Candidates must be available to participate in onsite interviews at one of these locations in order to be considered.

Key Responsibilities

• Lead the team in the process design, technical architecture, and engineering practices on new implementations and day to day support and operations.
• Provide technical guidance and mentorship to the team through knowledge sharing and day to day activities (design & code reviews, story/requirements definition, writing/maintaining wiki knowledge base)
• Ensure adherence to the company's architecture, data governance, quality, and security standards and create standards for the team where the broader company standards do not cover a specific area.
• Collaborate with product owner/managers and stakeholders to align data initiatives with the product roadmap.
• Manage the complete implementation team (engineers, QA, and BSA)
• Keep data projects on track with defined milestones and deliverables including raising risks with suggestions on how to mitigate, work around, or resolve them.
• Foster a collaborative culture by promoting data literacy and self-service analytics across the organization.

Qualifications

• 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 expertise in SQL (MSSQL or Snowflake preferred) and ETL platforms (SSIS, Azure Data Factory, or Informatica)
• Excellent communication and stakeholder management skills.
• Able to articulate and demonstrate prior examples of implementing proven experience leading technical teams and managing complex data projects.

Preferred Qualifications

• Experience with Agile methodologies and DevOps practices in an environment with multiple teams coordinating on a single system.
• Insurance industry experience.

The base salary range for this position is $130,000 - $175,000/year. Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

Arch is committed to helping employees succeed through our comprehensive benefits package that includes 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; and more.