Remote Data Solutions Architect: Lead Platform & Governance

Bright Vision Technologies; Santa Clara (CA); On-site; 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 CS/IS or related field.
• Eight+ years in data engineering with architecture experience.
• Deep expertise in two+ data platforms (Snowflake, Databricks, BigQuery, Redshift).
• Strong knowledge of lakehouse architectures, modern table formats, and streaming.
• Hands-on production experience with Spark, Flink, or Kafka.
• Data modeling across dimensional, normalized, and data vault patterns.
• Experience with governance, lineage, and catalog capabilities.
• Strong cloud platforms, networking, identity, and cost optimization understanding.
• Excellent communication and stakeholder management; track record leading large data platform initiatives.

Responsibilities

• Define and lead the architecture of the enterprise data platform (ingestion, storage, processing, governance, consumption).
• Set standards for data modeling and lifecycle management; drive data platform programs.
• Partner with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation.

Skills

Lakehouse architectures

Data modeling

Governance & lineage

Cloud platforms

Stakeholder management

Data platform leadership

Streaming systems

Communication

Leadership of large data programs

Education

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

Tools

Snowflake

Databricks

BigQuery

Redshift

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.