Manager, Data Platform Engineer - Microsoft Fabric

Manager, Data Platform Engineer – Microsoft Fabric

At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity, and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to CHANEL.

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

Learning emerging Microsoft Fabric capabilities and applying them pragmatically where they improve outcomes

Taking ownership of engineering quality while maintaining clear boundaries with business, reporting, and source-system owners

Sharing knowledge and helping establish repeatable 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 can operate

Strong collaboration and communication skills across technical and non-technical stakeholders

Position Logistics:

New York City – 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 be required to 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:

The anticipated base salary range for this position is $70,000-$160,000. A base salary is one component of 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/or perks.

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 of parental 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:

Chanel is a private company whose values are grounded in creating conditions for people to perform at their best and feel fulfilled and confident in their work. We offer a unique work environment where individuals are encouraged to better understand the brand, the business, and motivations, so that together we can unlock the possibiliti