Data Architect - Microsoft Fabric

Sealed Air Corporation

Charlotte (NC)

Sur place

USD 150 000 - 230 000

Plein temps

Il y a 7 jours
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Résumé du poste

Sealed Air Corporation is seeking a Microsoft Fabric Architect to shape and strengthen our enterprise data platform. This role blends architecture ownership with hands-on engineering, performance troubleshooting, capacity planning, and access governance across Finance, Commercial, Supply Chain, HR, and Corporate functions.

You will partner with data engineers, modelers, AI specialists, platform admins, and business stakeholders to deliver reusable solutions from ingestion to semantic models and

Qualifications

  • 10+ years of experience in data engineering, analytics, or enterprise data platforms with leadership of large-scale initiatives.
  • Hands-on experience architecting and supporting production Microsoft Fabric solutions.
  • Strong expertise in SQL, Python, PySpark, Power BI, dimensional modeling, Delta Lake, and data warehousing.
  • Proven experience with performance tuning, platform operations, security, governance, and capacity management.
  • Experience implementing CI/CD, monitoring, data quality controls, and enterprise-scale data solutions.
  • Strong communication skills across business, engineering, security, and operations teams.

Responsabilités

  • Define and evolve the Microsoft Fabric architecture across OneLake, Lakehouses, Warehouses, Data Factory, Notebooks, Power BI, and Data Science workloads.
  • Establish data platform standards, medallion architecture, data quality controls, lineage, and reusable ingestion frameworks.
  • Design integration solutions for SAP, enterprise applications, APIs, and databases.
  • Troubleshoot and optimize pipelines, Spark workloads, SQL, semantic models, and Power BI reports.
  • Monitor platform utilization and implement improvements for scalability, reliability, and cost efficiency.
  • Define workspace, data, and semantic model security using Entra ID and least-privilege.

Connaissances

SQL
Python
PySpark
Power BI
Delta Lake
Dimensional modeling
CI/CD
Data governance
Performance tuning
Leadership

Outils

Git
MLflow

Description du poste

What will you do as a Microsoft Fabric Architect at Sealed Air?

We are looking for a Microsoft Fabric Architect to shape and strengthen our enterprise data platform. This role combines architecture ownership with hands‑on engineering, performance troubleshooting, capacity planning, and access governance. You will enable reliable, secure, and cost‑effective data products supporting Finance, Commercial, Supply Chain, HR, and Corporate functions.

You will partner with data engineers, data modelers, AI specialists, platform administrators, and business stakeholders to turn requirements into reusable solutions. Your scope spans ingestion and Lakehouse architecture through semantic models, analytics applications, and machine learning experimentation, with clear accountability for technical standards and production readiness.

Why we need you?
Architecture & Engineering
  • Define and evolve the Microsoft Fabric architecture, including OneLake, Lakehouses, Warehouses, Data Factory, Notebooks, Power BI, and Data Science workloads.
  • Establish data platform standards, medallion architecture, data quality controls, lineage, and reusable ingestion frameworks.
  • Design integration solutions for SAP, enterprise applications, APIs, and databases.
Performance & Platform Optimization
  • Troubleshoot and resolve performance issues across pipelines, Spark workloads, SQL, semantic models, and Power BI reports.
  • Optimize SQL, PySpark, DAX, dimensional models, and Delta Lake performance.
  • Monitor platform utilization and implement improvements for scalability, reliability, and cost efficiency.
Capacity, Security & Governance
  • Manage Fabric capacity planning, workload allocation, and cost optimization.
  • Define workspace, data, and semantic model security using Microsoft Entra ID and least-privilege principles.
  • Establish governance standards for provisioning, access management, lineage, auditing, and compliance.
Analytics, Applications & AI
  • Guide development of reusable semantic models, KPIs, and governed data products.
  • Support Fabric application integration and transition prototypes into production solutions.
  • Enable machine learning and predictive analytics using notebooks, Python, MLflow, and Fabric Data Science capabilities.
Technical Leadership
  • Lead architecture reviews, code reviews, and technical mentoring for onshore and offshore teams.
  • Establish Git-based development, CI/CD processes, testing standards, and production support practices.
  • Partner with business stakeholders to translate requirements into scalable data products that drive measurable outcomes.
What do you need to succeed?
  • 10+ years of experience in data engineering, analytics, or enterprise data platforms, including leadership of large-scale data initiatives.
  • Hands‑on experience architecting and supporting production Microsoft Fabric solutions.
  • Strong expertise in SQL, Python, PySpark, Power BI, dimensional modeling, Delta Lake, and data warehousing.
  • Proven experience with performance tuning, platform operations, security, governance, and capacity management.
  • Experience implementing CI/CD, monitoring, data quality controls, and enterprise-scale data solutions.
  • Strong communication skills with the ability to work across business, engineering, security, and operations teams.
Preferred Qualifications
  • SAP or ERP integration experience.
  • Microsoft Purview and enterprise data governance experience.
  • Fabric Apps, APIs, and application integration expertise.
  • Experience with machine learning, MLOps, forecasting, and anomaly detection.
  • Knowledge of Real-Time Intelligence and enterprise AI platforms.
Success Measures
  • Adoption of enterprise data architecture standards and best practices.
  • Improved report, pipeline, and refresh performance.
  • Effective capacity planning and reduced platform costs.
  • Secure, auditable, and trusted data products.
  • Faster delivery of business value through scalable analytics an
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