Engineering Team Lead

Calliere Group

. Own the architecture across extraction, transformation, and orchestration for the full migration pipeline .

Posted 9/18/2026full-timeRemote • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building data-intensive backend systems and leading architecture for migration pipelines, with a strong focus on data quality, observability, and compliance in high-stakes domains. Capable of applying AI to enhance data workflows and leading teams to achieve technical excellence.

Highest-signal resume keywords

Data Pipeline DevelopmentETL/ELT SystemsSQL ProficiencyCloud Orchestration (Microsoft Fabric, Azure Data Factory)Legal Domain Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData MigrationForensic AnalysisChange Data CaptureTransformation Frameworks (dbt)Scalable MigrationsData Quality AssuranceHands-On Technical LeadershipAI Application in Data WorkflowsMulti-Tenant SaaS Experience

Soft Skills

PragmatismJudgment in Scope and SequencingTeam LeadershipCollaboration with Product Management

Industry Keywords

LegalFintechHealthcareComplianceConfidentiality

Tech Stack

Tools & technologies

AzureCloudETLSQL

About the role

Key responsibilities & impact

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 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 accurate, traceable, scalable migrations across many firms and source systems
Build repeatable go-live patterns that improve migration speed, predictability, and customer adoption
Shape problems into buildable work with the technical product manager and make disciplined tradeoffs
Apply AI to migration assessment, mapping, validation, and engineering workflows where it improves speed, quality, and scalability
Lead the team and set a high technical bar, including documentation and handoff practices
Serve as technical point of contact for operations and migrations, aligning decisions with planning and customer delivery needs

Requirements

What you’ll need

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 quality, lineage, and edge cases
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 pair a strong platform foundation 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 with high standards for correctness, confidentiality, and compliance
Experience building a new platform or team from the ground up
Experience applying AI or LLMs responsibly to accelerate data mapping, assessment, or transformation

Benefits

Comp & perks

Remote work arrangement
Short, fixed-length work cycles
Lightweight planning
Clear ownership
Meaningful influence over architecture, sequencing, and implementation
Autonomy to shape a durable migration capability