Senior Data Platform Architect — Remote

Bright Vision Technologies; Canton Charter Township (MI); On-site; USD 140,000 - 180,000; Full time

Job summary

Bright Vision Technologies is seeking a Data Platform 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+ years of experience in data engineering with architecture roles.
• Deep expertise across at least two major data platforms (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 across dimensional, normalized, and data‑vault patterns.
• Experience implementing governance, lineage, and catalog capabilities.
• Solid grasp of cloud platforms, networking, identity, and cost optimization.

Responsibilities

• Define and lead the architecture of the enterprise data platform across ingestion, storage, processing, governance, and consumption.
• Set standards for data modeling and lifecycle management.
• Partner with data engineering, analytics, ML, and business stakeholders to deliver a coherent data foundation.
• Provide architectural oversight and leadership across data-platform initiatives.

Skills

Architectural leadership

Stakeholder Mgmt

Data modeling

Cloud architecture

Communication

Education

Bachelor's or 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 Platform 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.