Remote Data Solutions Architect — Enterprise Platform Lead

Bright Vision Technologies; Artesia, Cerritos (CA, CA); Remote; USD 150,000 - 180,000; Full time

Job summary

Bright Vision Technologies seeks a Data Solutions 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 and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation.

The ideal candidate has deep technical mastery of modern data platforms and strong architectural

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
• 8+ years of experience in data engineering with architecture focus.
• Deep expertise across Snowflake, Databricks, BigQuery, or Redshift.
• Strong lakehouse, modern table formats, and streaming knowledge.
• Hands-on Spark, Flink, or Kafka at production scale.
• Data modeling across dimensional, normalized, and data vault patterns.
• Experience implementing governance, lineage, and catalog capabilities.
• Cloud platforms, networking, identity, and cost optimization knowledge.
• Excellent communication and stakeholder management.
• Track record leading large data platform initiatives.

Responsibilities

• Define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers.
• Set standards for data modeling and lifecycle management.
• Partner with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation.

Skills

Communication & stakeholder management

Data architecture

Cloud platforms

Project leadership

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field

Tools

Snowflake

Databricks

BigQuery

Redshift

Job description

Bright Vision Technologies seeks a Data Solutions 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 and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation.

The ideal candidate has deep technical mastery of modern data platforms and strong architectural