AI Data Platform Architect – Remote

Bright Vision Technologies; Overland Park (KS); Remote; USD 135,000 - 170,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Data Platform Engineer to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. This role sets standards for data modeling and lifecycle management and partners with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation.

The ideal candidate has deep technical mastery of modern data platforms, strong architectural judgment,

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 two major data platforms (Snowflake, Databricks, BigQuery, or Redshift).
• Hands-on experience with Spark, Flink, or Kafka at production scale.

Responsibilities

• Define the target-state architecture of the enterprise data platform, including 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 across batch and streaming workloads.
• Lead governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or 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 decoupling.
• 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: diagrams, decision records, reference patterns.

Skills

Architectural judgment

Leadership

Communication

Stakeholder management

Data governance knowledge

Education

Bachelor’s or Master’s degree in Computer Science/Information Systems

Tools

Snowflake

Databricks

BigQuery

Redshift

Spark

Flink

Kafka

Collibra

Alation

Unity Catalog

DataHub

dbt Semantic Layer

Job description

Bright Vision Technologies is seeking an AI Data Platform Engineer to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. This role sets standards for data modeling and lifecycle management and partners with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation.

The ideal candidate has deep technical mastery of modern data platforms, strong architectural judgment,