Enterprise ServiceNow Architect

Posted 2 Days Ago
Be an Early Applicant
Sammamish, WA, USA
In-Office
100K-150K Annually
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Define and lead enterprise data platform architecture across ingestion, storage, processing, governance, and consumption. Establish data modeling, security, lineage, quality, lifecycle, disaster recovery, and high-availability standards. Architect lakehouse, warehouse, and streaming solutions; guide platform integrations, cost optimization, and capacity planning. Partner with ML, BI, product, engineering, and business teams, lead architecture reviews, produce technical artifacts, and mentor data professionals.
Summary Generated by Built In
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 [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer. 
 

Skills Required

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
  • Eight or more years of experience in data engineering, including significant architecture experience
  • 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
  • Production-scale hands-on experience with Spark, Flink, or Kafka
  • Strong data modeling expertise across dimensional, normalized, and data-vault patterns
  • Experience implementing data governance, lineage, and catalog capabilities
  • Understanding 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
  • 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 in Snowflake, Databricks, AWS, Azure, or GCP
  • Public talks or writing on data architecture
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The Company
53 Employees
Year Founded: 2020

What We Do

Bright Vision Technologies is a minority-owned organization founded in July 2020 and based in New Jersey, USA. The company specializes in delivering top-tier staffing and IT consulting services, including custom computer programming and systems design. Additionally, they are a product engineering firm with a flagship AI-powered talent intelligence and enterprise automation platform called Lumina, which helps transform IT into a strategic asset for their valued partners.

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