Remote Data Solutions Architect — Enterprise Data Platform Lead

Bright Vision Technologies; United States; Remote; USD 150,000 - 180,000; Full time

Job summary

Bright Vision Technologies is seeking 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 drives the strategic direction of data infrastructure, 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.

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 architecture focus.
• Deep expertise across Snowflake, Databricks, BigQuery, or Redshift.
• Strong understanding of lakehouse, modern table formats, and streaming systems.
• Hands-on with Spark, Flink, or Kafka at production scale.
• Data modeling 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.
• Track record leading large data platform initiatives.

Skills

Data architecture

Stakeholder management

Cloud platforms

Streaming data

Leadership

Communication

Education

Bachelor’s/Master’s in CS/IS

Tools

Snowflake

Databricks

BigQuery

Redshift

Spark

Flink

Kafka

dbt Semantic Layer

Job description

Bright Vision Technologies is seeking 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 drives the strategic direction of data infrastructure, 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.