Remote Enterprise Data Platform Architect

Bright-Vision-Technologies

United States

Remote

USD 100,000 - 150,000

Full time

10 days ago
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Job summary

Bright Vision Technologies seeks an 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 data infrastructure standards and partners with data engineering, analytics, ML, and business stakeholders to deliver a scalable foundation.

The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment and has led large

Qualifications

  • Eight+ years of experience in data engineering with significant architecture responsibility.
  • Deep expertise across Snowflake, Databricks, BigQuery or Redshift.
  • Strong knowledge of lakehouse architectures and modern data formats.
  • Hands-on experience with production-scale streaming/batch systems.

Responsibilities

  • Define target-state architecture for the enterprise data platform.
  • Establish standards for data modeling, schema evolution, and storage organization.
  • Architect lakehouse/warehouse/streaming patterns using Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi.
  • Design end-to-end data pipelines balancing latency, cost, and reliability.
  • Lead governance, lineage, and catalog integrations (Collibra, Alation, Unity Catalog, DataHub).

Skills

Data platform
Data governance
Data modeling
Cloud architecture

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Spark
Flink
Kafka

Job description

Bright Vision Technologies seeks an 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 data infrastructure standards and partners with data engineering, analytics, ML, and business stakeholders to deliver a scalable foundation.

The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment and has led large

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