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Sr Data Engineer

Job in Redmond, King County, Washington, 98073, USA
Listing for: Microsoft Corporation
Full Time position
Listed on 2026-04-24
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Job Description & How to Apply Below
** Overview*
* We are looking for a full stack Azure Data Engineer to serve as the primary technical partner for our Legal Business Operations team. This is a hands-on role focused on deeply understanding the end-to-end technology stack that supports legal operations and provides technical guidance and support on platform modernization using AI.

You will be the person who knows how all the pieces connect: how data flows between systems, where integrations are fragile, what the downstream impact of a schema change is, and how to evaluate whether a new tool or approach is worth adopting. You will manage proof-of-concept evaluations, support production operations, and act as the bridge between legal operations stakeholders and engineering resources.

This is not a pure backend engineering role. It requires someone who is equally comfortable digging into data pipelines, troubleshooting a dashboard, and walking a non-technical stakeholder through the implications of a platform migration.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

** Responsibilities*
* Technology Stack Ownership & Operations

+ Develop and maintain a deep, end-to-end understanding of the legal business operations technology stack - including case management platforms, document management systems, workflow automation tools, dashboards, and reporting infrastructure

+ Serve as the go-to technical expert for how systems are configured, how data flows between them, and how changes in one system affect others downstream

+ Monitor system health, data quality, and pipeline reliability; proactively identify and resolve issues before they impact operations

+ Own technical documentation:  system architecture diagrams, data flow maps, integration specifications, and operational runbooks

+ Manage and coordinate system updates, configuration changes, and data migrations with minimal disruption to end users

Proof-of-Concept Management & Evaluation

+ Lead proof-of-concept evaluations for new tools, platforms, and technical approaches, scoping and requirements gathering through hands-on prototyping and stakeholder demo

+ Define clear success criteria for each proof of concept; collect and analyze data to produce objective recommendations on whether to adopt, iterate, or abandon.

+ Manage the transition from successful proof of concept to production deployment, including integration planning, data migration, testing, and rollout.

+ Stay current with emerging technologies relevant to legal operations, including low-code platforms, AI-assisted document review, workflow automation, and data analytics tools.

+ Evaluate vendor offerings and third-party solutions against build-vs-buy criteria, total cost of ownership, and long-term maintainability.

Data Engineering & Pipeline Development

+ Design, build, and maintain data pipelines that ingest, transform, and deliver data across the legal operations technology stack

+ Build and optimize data models and schemas to support reporting, analytics, and operational workflows

+ Implement data quality checks, validation rules, and monitoring to ensure accuracy and completeness of operational data

+ Develop and maintain integrations between systems (APIs, file-based transfers, event-driven workflows) to keep data synchronized and current

+ Support ad hoc data requests, extracts, and analysis for legal operations stakeholders

Stakeholder Partnership & Communication

+ Act as the primary technical liaison between the legal business operations team and engineering, data science, and platform teams

+ Translate business requirements into technical specifications and vice versa - making complex technical concepts accessible to non-technical stakeholders

+ Participate in planning and prioritization discussions, providing technical feasibility assessments and level-of-effort estimates

+ Coordinate with external…
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