Lead Data Architect, Microsoft Fabric — AI-Ready Platform

Sealed Air Corporation; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

Sealed Air Corporation in Charlotte, North Carolina, seeks a Principal Enterprise Data Architect to lead the Microsoft Fabric strategy and delivery across global teams.

You will architect data ingestion, lakehouse and warehouse patterns, and governance, while building AI-ready foundations and reusable data products for Power BI, APIs, and AI use cases. This hands-on senior role balances strategy with delivery.

Qualifications

• 10+ years of experience in data architecture, data engineering, or analytics leadership.
• Hands-on Microsoft Fabric experience including OneLake, Lakehouse, and Power BI.
• Experience designing cloud data platforms for reporting, analytics, APIs, or modern applications.

Responsibilities

• Set architecture and technical direction for Microsoft Fabric platform.
• Define reusable data ingestion, transformation, Lakehouse and Warehouse patterns, data modeling, semantic models, security, and governance.
• Ensure trusted data and business logic can be reused across Power BI, APIs, and AI solutions.
• Build an AI-ready data foundation with quality, metadata, lineage, context, and controls.
• Guide modernization of legacy data platforms into Microsoft Fabric while balancing speed, reliability, performance and cost.
• Partner with data, application, security, architecture, and business teams from solution design through production.
• Mentor engineers, review key designs, and communicate decisions clearly to technical teams and senior leaders.

Skills

Microsoft Fabric

Power BI

Data Architecture

Data Modeling

Lakehouse

Security & Governance

Leadership

Cloud Data Platform

Tools

OneLake

Lakehouse

Warehouse

Spark

APIs

Semantic models

Job description

Sealed Air Corporation in Charlotte, North Carolina, seeks a Principal Enterprise Data Architect to lead the Microsoft Fabric strategy and delivery across global teams.

You will architect data ingestion, lakehouse and warehouse patterns, and governance, while building AI-ready foundations and reusable data products for Power BI, APIs, and AI use cases. This hands-on senior role balances strategy with delivery.