Manager, Data Platform Engineer – Microsoft Fabric

CHANEL

. Design, build, test, deploy, and support Microsoft Fabric/FDP data products and pipelines .

Posted 10/13/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $70,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing Microsoft Fabric data products and pipelines, with a strong focus on DataOps practices, automated testing, and data quality controls. Proficient in managing data flows, ensuring performance tuning, and maintaining technical documentation for effective collaboration.

Highest-signal resume keywords

Microsoft Fabric ImplementationData Pipeline EngineeringAutomated TestingGit-Based Source ControlData Quality Controls

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PySparkSQLDelta LakeDataflows Gen2Schema EvolutionIdempotencyDependency ManagementPerformance TuningControlled ReprocessingMedallion Architecture

Soft Skills

CollaborationCommunication

Tools & Technologies

OneLakeLakehouseFabric Data FactoryNotebooksGit

Industry Keywords

DataOpsOperational LoggingMonitoringGovernance ControlsTechnical Documentation

Tech Stack

Tools & technologies

PySparkSQL

About the role

Key responsibilities & impact

Design, build, test, deploy, and support Microsoft Fabric/FDP data products and pipelines
Engineer scalable data products across OneLake, Lakehouse, Warehouse, Fabric Data Factory/Data Pipelines, notebooks, PySpark, SQL, Delta Lake, Dataflows Gen2, shortcuts, mirroring, and medallion architecture
Build restartable and idempotent ingestion and transformation pipelines with schema-evolution handling, dependency management, controlled reprocessing, and exception handling
Embed automated testing, reconciliation, data-quality controls, lineage, monitoring, alerting, failure evidence, and controlled exception routing
Diagnose and classify failures across source data, integration, Fabric processing, orchestration, and downstream consumption layers
Apply DataOps and software-engineering practices for source control, code review, CI/CD, deployment, access controls, rollback planning, and release management
Improve reliability, capacity utilization, performance, and cost efficiency using platform monitoring and performance information
Maintain source-to-target mappings, transformation logic, data-quality rules, technical lineage, ownership metadata, security requirements, change history, runbooks, limitations, and support handoff materials
Review partner-delivered code, testing, controls, documentation, and production-readiness evidence
Deliver tested and trusted curated data products for BI & Analytics and approved consumers
Collaborate with architects, analysts, governance partners, application teams, source-system teams, and external delivery teams
Contribute reusable engineering patterns and scalable improvements for Enterprise Data Management
Share knowledge and establish repeatable practices for Fabric delivery

Requirements

What you’ll need

Demonstrated hands-on Microsoft Fabric implementation experience across OneLake, Lakehouse, Warehouse, Fabric Data Factory/Data Pipelines, notebooks, PySpark, SQL, Delta Lake, Dataflows Gen2, shortcuts, mirroring, Git integration, and deployment pipelines
Experience designing medallion layers and source-to-curated data flows
Experience with incremental ingestion, transformation, schema evolution, history management, restartability, idempotency, dependency management, performance tuning, controlled reprocessing, and recovery handling
Strong experience with automated unit, integration, regression, reconciliation, and deployment testing
Experience with data-quality controls, operational logging, monitoring, alerting, failure classification, recovery procedures, and runbooks
Experience with Git-based source control, code review, CI/CD, deployment pipelines, environment configuration and promotion, secure access, release evidence, rollback planning, and disciplined release management
Working knowledge of Purview, lineage, metadata, security, privacy, and governance controls
Ability to create clear technical documentation, mappings, runbooks, support procedures, and handoff evidence
Strong collaboration and communication skills across technical and non-technical stakeholders
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience
New York City residency/work location with 3 days on site required
Limited travel may be required to collaborate with US and Global teams

Benefits

Comp & perks

Dedicated paid time off for wellbeing, including a 2-week August Office Closure
Wellbeing fund
Family and caregiving benefits, including parental leave, fertility support, MilkStork, and Care.com Membership
Vacation, holiday, sick, and volunteer days
401(k) and other incentives
Medical, dental, and vision coverage
MDLIVE virtual care and One Medical
Flexible Spending Accounts for Health Care and Dependent Care
Health Savings Account
Employee Assistance Program
Life insurance
Accidental Death & Dismemberment
Short Term Disability
Long Term Disability
Health Advocate
International Business Travel Accident & Medical
Commuter Transit & Parking
Employee Resource Groups in the US
Employee donation matching to select charitable organizations
Career and leadership development programs, coaching, and online/live classes through the Bloom platform