Data Architect – Microsoft Fabric

🔥 15 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $120k - $140k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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This company has sponsored H1B visas in the past.

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NBCUniversal

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

📱 Media

Media • Entertainment

NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.

📋 Description

• Define the end-to-end Microsoft Fabric architecture, including OneLake, Lakehouse, Warehouse, Data Factory, Real-Time Intelligence, Eventstream/Eventhouse, notebooks, and semantic models • Establish foundational architecture, standards, environment strategy, workspace organization, security boundaries, deployment patterns, and operating principles for a greenfield enterprise data platform • Lead delivery teams by translating architecture and program objectives into epics, stories, tasks, dependencies, and implementation sequencing • Consolidate fragmented operational data into a centralized ecosystem using domain-aligned data products, authoritative sources, shared datasets, and common data contracts • Design operational data solutions across IT service management, workplace technology, endpoints, assets, identity, infrastructure, networks, collaboration platforms, telemetry, events, logs, and reference data • Architect streaming and event-driven solutions alongside historical, transactional, master, and reference data • Establish scalable raw, enriched, and curated lakehouse and warehouse patterns, including Delta designs, OneLake shortcuts, virtualization, partitioning, optimization, retention, and performance management • Define data modeling principles, canonical entities, conformed dimensions, business definitions, and semantic standards • Define ingestion, transformation, and orchestration patterns across APIs, databases, SaaS platforms, files, CDC, batch processing, and event streams • Establish access controls, metadata, lineage, classification, ownership, data contracts, quality standards, retention policies, and lifecycle controls • Develop target-state architectures, reference architectures, decision records, data flow diagrams, technical standards, reusable patterns, and roadmaps • Establish source control, CI/CD, environment promotion, infrastructure automation, testing, monitoring, deployment, and release management standards • Lead architecture reviews and advise teams on solution designs and technical decisions

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience • 8+ years of experience in data engineering, data architecture, solution architecture, or related roles • Experience designing, establishing, or materially evolving enterprise-scale data platforms • Experience translating architecture and technical strategy into executable roadmaps, epics, stories, tasks, and implementation plans • Experience serving as a technical lead across multidisciplinary engineering teams or complex technical programs • Experience designing lakehouse and/or warehouse architectures with layered data patterns • Strong SQL expertise • Proficiency with Python and/or PySpark • Experience architecting data solutions on Microsoft Fabric, Microsoft Azure, or comparable enterprise cloud data platforms • Experience designing batch and real-time/event-driven data solutions • Understanding of APIs, data integration, distributed data processing, and enterprise integration patterns • Experience designing secure, scalable, observable, and supportable production data platforms • Understanding of data modeling, metadata, lineage, governance, and data quality principles • Ability to evaluate complex technical tradeoffs and determine architectural approaches independently • Strong written and verbal communication skills • Ability to operate effectively in a greenfield environment • Desired: Microsoft Fabric, Power BI, Azure data technologies, Kafka, Azure Event Hubs, Kinesis, CDC, data governance tooling, GitHub Actions, Azure DevOps, Terraform, Bicep, observability, advanced analytics, machine learning, generative AI, agentic applications, and Operations & Technology environments

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) • Paid leave • Tuition reimbursement • Variety of discounts and perks • Fully remote work arrangement