Remote AI Data Platform Architect

Bright Vision Technologies; Chesterfield (MO); Remote; USD 135,000 - 170,000; Full time

Job summary

Bright Vision Technologies seeks an AI Data Platform Engineer to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. You will set standards for data modeling and lifecycle management, partnering with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation.

The ideal candidate combines deep technical mastery with architectural judgment, having led significant

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 significant time in architecture roles.
• Deep expertise across at least two major data platforms such as 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 expertise 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 skills.
• Track record of leading large data platform initiatives across teams.

Responsibilities

• Define the target-state architecture of the enterprise data platform across ingestion, storage, processing, and consumption layers.
• Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization.
• Architect lakehouse, warehouse, and streaming patterns leveraging Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi.
• Design end-to-end data pipelines balancing latency, cost, reliability, and maintainability for batch and streaming workloads.
• Lead governance, lineage, and catalog tools integration (Collibra, Alation, Atlan, Unity Catalog, DataHub).
• Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns.
• Partner with ML, BI, and product teams to align platform capabilities with downstream needs.
• Establish data contract and data product principles to drive ownership and quality.
• Lead architecture reviews and provide guidance on pipeline and warehouse design proposals.
• Drive cost optimization and capacity planning across the data platform estate.
• Design disaster recovery, multi-region, and high-availability strategies for critical data assets.
• Mentor data engineers and architects on platform standards and best practices.
• Produce architecture artifacts such as context diagrams, decision records, and reference patterns.
• Stay current with data platform research and vendor offerings.

Skills

Data architecture

Data modeling

Communication

Stakeholder management

Leadership

Education

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

Tools

Snowflake

Databricks

BigQuery

Redshift

Spark

Flink

Kafka

Job description

Bright Vision Technologies seeks an AI Data Platform Engineer to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. You will set standards for data modeling and lifecycle management, partnering with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation.

The ideal candidate combines deep technical mastery with architectural judgment, having led significant