Data Architect – Microsoft Fabric

NBCUniversal

. Define the end-to-end Microsoft Fabric architecture, including OneLake, Lakehouse, Warehouse, Data Factory, Real-Time Intelligence, Eventstream/Eventhouse, notebooks, and semantic models .

Posted 10/20/2026full-timeRemote • New York • United StatesSeniorLead💰 $120,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing enterprise-scale data platforms using Microsoft Fabric and Azure technologies, with a strong focus on data architecture, governance, and integration patterns. Proven ability to lead multidisciplinary teams and translate complex architectural strategies into actionable plans.

Highest-signal resume keywords

Microsoft Fabric ArchitectureData EngineeringSQL ExpertisePython/PySpark ProficiencyEnterprise Data Platforms

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ArchitectureData ModelingBatch ProcessingReal-Time Data SolutionsData GovernanceEvent-Driven SolutionsData IngestionData TransformationData Quality PrinciplesTechnical Leadership

Soft Skills

Strong Communication SkillsAbility to Operate in Greenfield Environments

Tools & Technologies

Microsoft AzurePower BIKafkaAzure Event HubsKinesisGitHub ActionsAzure DevOpsTerraformBicepObservability Tools

Industry Keywords

Enterprise Data PlatformsData IntegrationDistributed Data ProcessingTechnical StrategyData Contracts

Tech Stack

Tools & technologies

AzureCloudITSMKafkaPySparkPythonSQLTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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