System Integration Engineer, Vice President

System Integration Engineer, Vice President Legal Technology Integrations Who We Are Looking For We are seeking a System Integration Engineer to design, build, and operate integrations across the legal application landscape, with a primary focus on the contracting ecosystem and its data supply chain. This role will connect contract management SaaS platforms, master data management (MDM) services, the legal data lake, and other enterprise applications to ensure data moves reliably, securely, and in a well-governed manner.

The ideal candidate brings strong hands-on integration engineering capability—API design and consumption, event and batch integration patterns, data mapping and transformation, and operational excellence—paired with an ability to work across Legal, Technology, Security, and enterprise platform teams to deliver stable, supportable integrations.

Why This Role Is Important to UsLegal platforms are only as effective as the data and workflows that connect them. Contracting processes rely on seamless integrations to enable:

End-to-end contracting workflows across intake, negotiation, approvals, signature, and repository storage

Trusted master data (counter parties, vendors, hierarchies, reference data) flowing consistently across systems

High-quality contract data landing in the data lake for reporting, obligations tracking, analytics, and downstream automation

Security, auditability, and compliance through consistent identity/access patterns, logging, and retention-aligned handling

This role ensures the integration layer is resilient, observable, scalable, and aligned to enterprise standards—reducing manual effort, preventing data quality issues, and improving the reliability of legal operations.

What You Will Be Responsible ForA) Integration Engineering & Delivery Design, build, and maintain integrations between legal SaaS systems (contracting platforms, document repositories) and enterprise services (MDM, identity, data lake, workflow, reporting, and other business systems).Implement integration patterns across API-based, event-driven, and batch/file-based approaches based on use case needs and constraints.

Develop and manage interfaces including API endpoints/clients, message/event handlers, ETL/ELT jobs, and scheduled data syncs.

Create robust data transformations and mappings (schemas, field-level mapping, reference data normalization) to support consistent downstream consumption.

B) Data Movement into the Legal Data Lake Build and operate reliable pipelines that ingest contract documents, metadata, and extracted fields into the data lake.

Partner with data engineering and governance teams to ensure:

Clear source-to-target mapping and lineage

Data quality checks and reconciliation (completeness, duplication, referential integrity)
Appropriate handling of sensitive data and retention-aligned storage patterns

Enable secure consumption patterns for analytics, dashboards, APIs, and approved automation use cases.

C) MDM & Reference Data Alignment Integrate legal systems with MDM and reference data services to ensure consistent master entities (e.g., counter parties, vendors, hierarchies, locations, identifiers).Implement validation and enrichment patterns (e.g., match/merge logic, golden record alignment, reference data lookups).Establish routines for resolving data discrepancies and preventing drift across systems.

D) Integration Architecture Standards & Reusability Define and implement integration standards for the legal contracting domain:

Canonical data models (where appropriate)
Naming conventions, versioning, and backward compatibility approaches

Error handling patterns and idempotency

Secure secrets management and key rotation expectations

Build reusable integration components to reduce duplication and accelerate delivery.

E) Security, Access, and Compliance by Design Ensure integrations adhere to security and compliance requirements, including:

Authentication/authorization patterns (SSO/OAuth/SAML as applicable), least privilege, and segregation of duties

Encryption in transit and at rest, secure credential storage, and audit logging

Data classification handling, retention-aligned processing, and privacy-by-design controls

Support audits and control evidence through documented flows, runbooks, and traceable logs.

F) Operational Excellence (Reliability, Monitoring, Support)
Own day-2 operations for integrations: monitoring, alerting, incident triage, root cause analysis, and permanent fixes.

Implement observability best practices: structured logs, metrics, tracing, and integration health dashboards.

Establish SLAs/SLOs, on-call/support procedures (as applicable), and release readiness practices for integration changes.

Drive continuous improvement to reduce failures, latency, manual interventions, and data quality defects.

G) Cross-Team Collaboration & Stakeholder Partnership Work closely with Legal Operations, application owners, enterprise integration teams, data engineering, security, and vendors to coordinate…