Remote Data Platform Architect - Scale Enterprise Data

Bright Vision Technologies; Orlando (FL); Remote; USD 175,000 - 200,000; Full time

Job summary

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

The role is 100% remote in the United States.

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.

Skills

Data architecture

Cloud platforms

Stakeholder management

Communication

Data modeling

Governance & lineage

Streaming systems

Education

Bachelor’s or Master’s degree in CS/IS or related field

Tools

Snowflake

Databricks

BigQuery

Redshift

Job description

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

The role is 100% remote in the United States.