Remote Data Solutions Architect – Platform & Governance

Bright Vision Technologies

Hillsboro (OR)

Remote

USD 150,000 - 180,000

Full time

9 days ago
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Job summary

Bright Vision Technologies is recruiting a Data Solutions Architect to define and lead the architecture of our enterprise data platform, including ingestion, storage, processing, governance, and consumption layers. You will set standards for data modeling and lifecycle management while partnering with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation.

The ideal candidate combines deep data-platform expertise with strong architectural judgement and

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
  • Eight or more years of experience in data engineering with 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.

Skills

Communication
Stakeholder management
Leadership
Architecture

Education

Bachelor’s or Master’s in CS/IS

Tools

Snowflake/Databricks/BigQuery/Redshift
Spark/Flink/Kafka
Cloud platforms

Job description

Bright Vision Technologies is recruiting a Data Solutions Architect to define and lead the architecture of our enterprise data platform, including ingestion, storage, processing, governance, and consumption layers. You will set standards for data modeling and lifecycle management while partnering with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation.

The ideal candidate combines deep data-platform expertise with strong architectural judgement and

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