Manager, Data Platform Engineer – Microsoft Fabric
About the role:
CHANEL is looking for a Manager, Data Platform Engineer – Microsoft Fabric to join our Enterprise Data Management (EDM) team in New York City. You will build trusted data products and production-ready pipelines on Microsoft Fabric/FDP, from source ingestion through curated and governed layers that can be consumed confidently by BI, analytics, and other approved use cases. This role works closely with the Enterprise Data Platform & Integration Architect, BI & Analytics, Data Governance, application and source-system teams, and delivery partners. The ideal candidate brings up to 5 years of hands-on data engineering or data platform engineering experience, including production delivery on modern cloud data platforms, direct Microsoft Fabric implementation experience, and a passion for engineering reliable, observable, and well-documented data solutions.
What impact you can create at CHANEL:
- Design, build, test, deploy, and support Microsoft Fabric/FDP data products and pipelines across ingestion, transformation,lakehouse, warehouse, and curated data layers.
- Engineer scalable Fabric data products using appropriate combinations of 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 robust exception handling
- Embed automated testing, reconciliation, data-quality controls, lineage, monitoring, alerting, failure evidence, and controlled exception routing into each data product
- Diagnose and classify failures across source data, integration, Fabric processing, orchestration, and downstream consumption layers, routing remediation to the accountable team while supporting Fabric engineering quality and reliable platform delivery
- Apply disciplined DataOps and software-engineering practices across source control, code review, automated testing, CI/CD, deployment pipelines, environment configuration and promotion, access controls, rollback planning, release evidence, and separation of duties
- Use platform monitoring and performance information to help improve reliability, capacity utilization, and cost efficiency
- Maintain accurate source-to-target mappings, transformation logic, data-quality rules, technical lineage, ownership metadata, security requirements, change history, runbooks, known limitations, and support handoff materials throughout the data-product lifecycle
- Contribute to reviews of partner-delivered code, testing, controls, documentation, and production-readiness evidence
- Deliver tested and trusted curated data products for BI & Analytics and other approved consumers, collaborating on availability, lineage, performance, interfaces, and change impacts while BI & Analytics retains semantic-model, metric, reporting-standard, and Power BI architecture responsibilities
- Contribute reusable engineering patterns and practical improvements that help EDM scale Fabric delivery without creating one-off pipelines or unsupported solutions
You are energized by:
- Building production-grade data solutions hands-on and seeing them move from design through stable operation
- Solving complex ingestion, transformation, reconciliation, performance, and reliability challenges
- Making data trustworthy through testing, controls, monitoring, lineage, and transparent documentation
- Working collaboratively with architects, analysts, governance partners, application teams, and external delivery teams
- Learningemerging Microsoft Fabric capabilities and applying them pragmatically where they improve outcomes
- Taking ownership of engineering quality whilemaintainingclear boundaries with business, reporting, and source-system owners
- Sharing knowledge and helpingestablishrepeatable practices for a growing Enterprise Data Management capability
- Engineering restartable, observable, and supportable solutions that can be operated by a team rather than depending on the original developer
- Using measurable platform behavior to improve performance, reliability, capacity utilization, and cost efficiency
What you will bring to the team:
- Demonstrated hands-on Microsoft Fabric implementation experience across several of the following: 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, including 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, together 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 as they apply to engineered data solutions
- Ability to create clear technical documentation, mappings, runbooks, support procedures, and handoff evidence that other engineers canoperate
- Strong collaboration and communication skills across technical and non-technical stakeholders
Position Logistics:
- New York City 60; 3 days on site required
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience
- Limited travel may berequiredto collaborate with US and Global teams
*Chanel, Inc. reserves the right to edit, change, or make exceptions on designations where circumstances where deemed appropriate.
Compensation:
- Theanticipatedbase salary range for this position is $70,000-$160,000.A base salary is onecomponentof the total compensation for this position. Other forms of variable pay [may/will] be offered for this position. Other components [may/will] include bonus potential, benefits, and/orperks.
Benefits and Perks:
- Wellbeing resources include dedicated paid time off for wellbeing (2-week August Office Closure) and a Wellbeing fund
- Family and care giving benefits (inclusive ofparental leave, fertility support,MilkStork, and Care.com Membership)
- Generous paid time off policies to include vacation, holiday, sick and volunteer days
- 401K and other incentives
- Robust healthcare offerings; medical, dental, vision, MDLIVE (virtual care), One Medical, Flexible Spending Accounts (Health Care & Dependent Care), Health Savings Account and Employee Assistance Program
- Life insurance, Accidental Death & Dismemberment, Short Term Disability, Long Term Disability, Health Advocate, International Business Travel Accident & Medical, and Commuter Transit & Parking
Additional Information:
