远程工作雷达

企业 ServiceNow 架构师

Enterprise ServiceNow Architect

开发工程限定地区(需当地身份)
公司Bright Vision Technologies
薪资$100,000 - $150,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

企业 ServiceNow 架构师 - 远程办公

Bright Vision Technologies 是一家技术咨询和软件开发公司,为美国各地提供云、人工智能、数据和企业解决方案。
这是一个加入一家成熟且备受尊敬的组织的绝佳机会,提供巨大的职业发展潜能。

职位名称:企业 ServiceNow 架构师
工作地点:100% 远程(美国)
职位类型:全职,直接 W2
薪资范围:每年 10 万至 15 万美元
所需经验:6 年以上

赞助:美国公民、绿卡持有者、EAD 持有者以及 H-1B 转移候选人欢迎申请。我们无法为该职位申请新的 H-1B 签证。

职位概述
我们正在寻找一名企业 ServiceNow 架构师,负责定义并领导企业数据平台的架构,涵盖数据摄取、存储、处理、治理和消费各层。该角色推动数据基础设施的战略方向,制定数据建模和生命周期管理的标准,并与数据工程、分析、机器学习和业务相关方合作,交付一致且可扩展的数据基础。理想的候选人需具备现代数据平台的深厚技术能力,同时拥有强大的架构判断力,并曾主导过具有重要规模和复杂性的数据平台项目。

主要职责
· 定义企业数据平台的目标架构,包括数据摄取、存储、处理和消费各层。

  • 建立数据建模、模式演进、分区、文件格式和存储结构的标准。
  • 设计湖仓、数据仓库和流处理模式,利用 Snowflake、Databricks、BigQuery、Redshift、Iceberg、Delta Lake 或 Hudi 等技术。
  • 设计端到端的数据管道,在批处理和流式处理任务中平衡延迟、成本、可靠性和可维护性。
  • 领导治理、血缘关系和目录工具的集成,如 Collibra、Alation、Atlan、Unity Catalog 或 DataHub。
  • 定义安全架构,包括行级和列级控制、脱敏、加密和基于身份的访问模式。
  • 与机器学习、商业智能和产品团队合作,确保平台功能符合下游使用需求。
  • 建立数据契约和数据产品原则,以推动责任归属、质量和生产者与消费者之间的解耦。
  • 主导架构评审,并为管道设计提供指导。
查看英文原文

Enterprise ServiceNow Architect - Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Enterprise ServiceNow Architect
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary
We are seeking a Enterprise ServiceNow Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity.

Key Responsibilities
· Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers.

  • Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization.
  • Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi.
  • Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads.
  • Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub.
  • Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns.
  • Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs.
  • Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers.
  • Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams.
  • Drive cost optimization and capacity planning across the data platform estate.
  • Design disaster recovery, multi-region, and high-availability strategies for critical data assets.
  • Mentor data engineers and architects on platform standards and emerging best practices.
  • Produce architecture artifacts including context diagrams, decision records, and reference patterns.
  • Stay current with data platform research, vendor offerings, and open-source ecosystem developments.

Required Qualifications
· Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

  • Eight or more years of experience in data engineering, with significant time in architecture roles.
  • Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
  • Strong understanding of lakehouse architectures, modern table formats, and streaming systems.
  • Hands-on experience with Spark, Flink, or Kafka at production scale.
  • Strong data modeling expertise across dimensional, normalized, and data-vault patterns.
  • Experience implementing governance, lineage, and catalog capabilities.
  • Solid grasp of cloud platforms, networking, identity, and cost optimization.
  • Excellent communication, facilitation, and stakeholder management skills.
  • Track record of leading large data platform initiatives across teams.

Preferred Qualifications
· Experience with data mesh or data product architectures.

  • Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML.
  • Exposure to regulated industries with strict data residency or audit requirements.
  • Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP).
  • Public talks or writing on data architecture.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to  or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at .
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
Originally posted on Himalayas

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