Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$120к-140к/год
$150к$180кмедиана$190к
По похожим ролям (48) ~ $180к/год
На СНГ рынке: $3.8к/мес ($3.8к - $5.4к)
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Ниже рынкаЧёткая зона ответственностиАктуальный стекКрупный бренд
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Architect (Microsoft Fabric): Designing and establishing a greenfield enterprise data ecosystem on Microsoft Fabric for operational data, analytics, automation, and AI with an accent on lakehouse and warehouse architecture, real-time and historical data integration, governance, and security. Focus on defining target-state architecture, modeling and integration standards, delivery roadmaps, and scalable production data platforms across complex Operations & Technology domains.
Location: Fully remote in the United States; company location listed as New York, United States. An in-person interview at an hirify.global location may be required before hiring.
hirify.global is a media and entertainment company producing and distributing film, television, streaming, news, sports, theme park, and consumer content.
What you will do
Define the end-to-end Microsoft Fabric architecture for a greenfield enterprise data ecosystem, including OneLake, Lakehouse, Warehouse, Data Factory, Real-Time Intelligence, Eventstream/Eventhouse, notebooks, and semantic models.
Establish platform standards for environments, workspaces, security boundaries, deployment, operating principles, data layers, modeling, integration, and performance.
Centralize operational data into domain-aligned data products, authoritative sources, reusable datasets, and common data contracts.
Architect batch, streaming, event-driven, transactional, master, and reference data solutions across Operations & Technology domains.
Lead governance, security, quality, lineage, retention, DevOps, observability, architecture reviews, and technical documentation.
Translate architecture and program objectives into epics, stories, tasks, dependencies, implementation sequencing, and delivery guidance for multidisciplinary teams.
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, including enterprise-scale data platform responsibility.
Experience translating architecture and technical strategy into roadmaps, epics, stories, tasks, and implementation plans.
Experience serving as a technical lead across multidisciplinary engineering teams or complex technical programs.
Strong experience designing lakehouse and/or warehouse architectures with layered raw, enriched, and curated data patterns.
Strong SQL expertise and proficiency with Python and/or PySpark.
Experience architecting solutions on Microsoft Fabric, Microsoft Azure, or comparable enterprise cloud data platforms.
Experience designing batch and real-time/event-driven solutions, APIs, data integration, distributed processing, and enterprise integration patterns.
Experience designing secure, scalable, observable, supportable production data platforms and strong understanding of modeling, metadata, lineage, governance, and data quality.
Ability to evaluate tradeoffs across scalability, reliability, maintainability, security, cost, and business requirements; communicate architecture to technical and business audiences; and operate in a greenfield environment.
Nice to have
Greenfield enterprise data platform or major data ecosystem modernization experience.
Deep hands-on Microsoft Fabric experience, including OneLake, Lakehouse, Warehouse, Data Factory, notebooks, Real-Time Intelligence, Eventstream/Eventhouse, semantic models, and Power BI.
Experience with Fabric workspace, domain, environment, security, capacity, and deployment strategies; Azure data technologies; Kafka, Azure Event Hubs, Kinesis, or equivalent.
Experience with CDC, near-real-time ingestion, governance tooling, cataloging, lineage, classification, data contracts, retention, privacy, CI/CD, and infrastructure automation using GitHub Actions, Azure DevOps, Terraform, or Bicep.
Experience with observability, logging, monitoring, alerting, SLAs/SLOs, data quality monitoring, architecture decision records, reference architectures, and reusable technical patterns.
Experience supporting analytics, machine learning, generative AI, or agentic applications; large-scale Operations & Technology environments; or media, entertainment, and consumer technology.
Strong facilitation and presentation skills for technical design discussions and complex architecture decisions.
Culture & Benefits
Fully remote work from a non-hirify.global worksite, most commonly an employee’s residence.
Medical, dental, and vision insurance.
401(k), paid leave, tuition reimbursement, discounts, and other company-sponsored benefits.
Inclusive culture with opportunities to support communities and develop professionally.
Hiring process
External candidates may be required to attend an in-person interview at an hirify.global location before a hiring decision.
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