Engineering Tech Lead – Migration Platform

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🏄 California – Remote

🏄 California – Remote

💵 $170k - $190k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AbacusNext

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1983

⚖️ Legal

💼 Consulting

☁️ SaaS

Legal • Consulting • SaaS

CARET is a software company with 40 years of experience that builds award-winning SaaS practice management platforms for legal and accounting firms. Its flagship product, CARET Legal, is an end-to-end legal practice management solution that organizes workflows, facilitates collaboration, and accepts payments, helping small and mid-size professional firms streamline operations and focus on higher-value work. CARET serves over 10,000 firms globally and positions itself as a B2B provider of practice management and payment-enabled SaaS tools.

📋 Description

• Own the architecture across extraction, transformation, and orchestration for the full migration pipeline • Translate technical strategy into buildable platform increments with the team • Develop deep knowledge of the CARET Legal data model and its relationship to application behavior, workflows, and customer outcomes • Understand legal practice management and accounting workflows, customer problems, and data relationships • Design scalable, accurate, traceable migration systems for legal practice data across firms and source systems • Build repeatable go-live patterns that make migrations faster and more predictable • Shape problems into buildable work with the technical product manager and make disciplined delivery tradeoffs • Apply AI to migration assessment, mapping, validation, and engineering workflows where it improves speed, quality, and scalability • Lead the team and establish technical standards, documentation, and handoff practices • Serve as technical point of contact for operations and migrations, aligning decisions with planning and customer delivery needs • Partner with the technical product manager on roadmap priorities and lead the team through design, implementation, and delivery

🎯 Requirements

• 8+ years building data-intensive backend systems, including experience leading architecture across a team • Ability to reverse engineer application systems through forensic analysis of underlying data structures and storage • Deep experience building reliable data pipelines and ETL/ELT systems, including extraction, change data capture, transformation, and orchestration at scale • Hands-on experience with SQL, a transformation framework such as dbt, and cloud orchestration such as Microsoft Fabric or Azure Data Factory • Strong focus on correctness, observability, and traceability in data engineering • Ability to operate as a hands-on technical lead, setting direction, raising the engineering bar, and contributing code • Pragmatism about scope and sequencing, with judgment to balance platform foundations with practical AI and automation • Experience leading data migration or system-to-system consolidation initiatives • Experience with multi-tenant SaaS applications and systems • Experience in legal, fintech, healthcare, or another domain requiring correctness, confidentiality, and compliance • Experience building a new platform or team from the ground up • Experience applying AI or LLMs to accelerate data mapping, assessment, or transformation

🏖️ Benefits

• Flexible PTO • Medical coverage • Dental coverage • Paid sick days • Vision coverage • Supplemental coverage • Flexible Spending Account • Health Savings Account • 401(k) match • Potential for bonuses based on company performance • Potential for merit increases based on performance