Remote Cloud Data Architect: Lead Data Platform

Bright Vision Technologies; Flower Mound (TX); On-site; USD 145,000 - 160,000; Full time

Job summary

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

The ideal candidate combines deep technical mastery with strong architectural judgment and has led

Qualifications

• 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.

Responsibilities

• Define and lead enterprise data platform architecture and standards.
• Collaborate with data engineering, analytics, ML, and business teams to deliver scalable data foundations.

Skills

Data architecture

Cloud data platforms

Stakeholder management

Communication

Leadership

6+ years experience

Distributed data systems

Education

Bachelor's degree in CS/CE/related field

Tools

Snowflake

Databricks

BigQuery

Redshift

Spark

Flink

Kafka

Job description

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

The ideal candidate combines deep technical mastery with strong architectural judgment and has led