Engineering Tech Lead, Migration Platform

• Own the architecture across extraction, transformation, and orchestration - the full migration pipeline.
• Translate technical strategy into buildable platform increments alongside the team.
• Develop deep knowledge of the CARET Legal data model and how it maps to application behavior, workflows, and customer outcomes.
• Gain an in-depth understanding of legal practice management and accounting, including the workflows, customer problems, and data relationships CARET Legal solves and supports.
• Design for correctness and scale, migrating legal practice data across many firms and source systems with a high bar for accuracy, traceability, and customer trust .
• Build repeatable go-live patterns that make migrations faster, more predictable, and easier for customers to adopt .
• Shape problems into buildable work with the technical product manager, making disciplined tradeoffs to keep delivery focused and predictable.
• Apply AI thoughtfully to accelerate migration assessment, mapping, validation, and engineering workflows where it improves speed, quality, and scalability .
• Lead the team and set a high technical bar , including clear documentation and handoff practices that keep the platform maintainable and easy to extend .
• Be the technical point of contact for operations and migrations , align ing technical decisions with migration planning and customer delivery needs.

What we’re looking for

• 8+ years building data-intensive backend systems, including experience leading architecture across a team.
• A unique ability to reverse engineer application systems by performing forensic analysis of their 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 strength in a modern data stack , including SQL, a transformation framework such as dbt , and cloud orchestration such as Microsoft Fabric or Azure Data Factory .
• A strong bias for correctness , observability , and traceability when data quality, lineage, and edge cases require disciplined engineering .
• Ability to operate as a hands-on tech nical lead : setting direction, raising the engineering bar, and contributing code.
• Pragmatism about scope and sequencing , with the judgment to pair a strong platform foundation with practical AI and automation where each creates durable value .

Nice to have

• 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 with high standards for correctness, confidentiality, and compliance.
• E xperience b uilding a new platform or team from the ground up .
• Experience applying AI or LLMs responsibly to accelerate data mapping, assessment, or transformation.

How the team works

• You’ll join a focused team inside our product and engineering organization, built to move quickly on a strategic platform capability . We work in short, fixed -length cycles with lightweight planning, clear ownership, and disciplined tradeoffs that keep delivery focused and predictable . The team has meaningful influence over architecture, sequencing, and implementation , with the autonomy to shape a durable migration capability for CARET Legal .

• This role is remote and open to candidates based in the United States or Canada.

• Flexible PTO
• Medical, Dental, Paid Sick Days, Vision, and Supplemental Coverage

• 401(k) match

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

We value people with unique backgrounds, experiences, and skillsets.

If you’re passionate about having a significant impact and shaping the foundations of a rapidly growing product, please apply!

Equal Employment Opportunity: CARET is an Equal Opportunity, Affirmative Action Employer.

The compensation information below is provided in compliance with job posting disclosure requirements.

Pay range: $170,000-$190,000 USD .

Actual base pay will depend on varying circumstances, including the position, location, individual qualifications, market finances, and other operations business needs.

Depending on the position, compensation may also include commission, bonuses, etc.

Potential for bonuses is based on company performance and potential for merit increases is based on performance.