Remote Data Solutions Architect — Enterprise Platform Lead

Bright Vision Technologies; Yuba City (CA); À distance; USD 150 000 - 180 000; Plein temps

Résumé du poste

Bright Vision Technologies, a technology consulting and software development company, seeks a Data Solutions Architect to define and lead the architecture of its enterprise data platform. The role spans ingestion, storage, processing, governance, and consumption layers, delivering a scalable data foundation in collaboration with data engineering, analytics, ML teams, and business stakeholders.

The ideal candidate will possess deep expertise in modern data platforms, strong architectural

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 in at least two major data platforms (Snowflake, Databricks, BigQuery, Redshift).
• Strong understanding of lakehouse architectures, modern table formats, and streaming systems.
• Experience with governance, lineage, and catalog capabilities.
• Excellent communication and stakeholder management skills.

Responsabilités

• Define and lead the architecture of the enterprise data platform.
• Set standards for data modeling and lifecycle management.
• Partner with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation.

Connaissances

Data platform architecture

Cloud platforms

Governance

Stakeholder management

Communication

Leadership

Formation

Bachelor's or Master's in CS/IS

Outils

Snowflake

Databricks

BigQuery

Redshift

Spark

Flink

Kafka

Description du poste

Bright Vision Technologies, a technology consulting and software development company, seeks a Data Solutions Architect to define and lead the architecture of its enterprise data platform. The role spans ingestion, storage, processing, governance, and consumption layers, delivering a scalable data foundation in collaboration with data engineering, analytics, ML teams, and business stakeholders.

The ideal candidate will possess deep expertise in modern data platforms, strong architectural