Engineering Tech Lead – Migration Platform

Posted 23 hours ago

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About the role

  • Engineering Tech Lead owning architecture for CARET’s AI-accelerated legal data migration platform. Building scalable extraction, transformation, orchestration, and go-live capabilities for law firms.

Responsibilities

  • 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

Job type

Full Time

Experience level

Senior

Salary

$170,000 - $190,000 per year

Degree requirement

No Education Requirement

Tech skills

AzureCloudETLSQL

Location requirements

RemoteUnited States

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