Remote AI Data Platform Architect

Bright-Vision-Technologies; United States; Remote; USD 135,000 - 170,000; Full time

Job summary

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

The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and

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, 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 that balance latency, cost, reliability, and maintainability across batch and streaming workloads.
• Lead the integration of 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 ensure platform capabilities align with downstream consumption needs.
• Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers.
• Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams.
• 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 emerging best practices.
• Produce architecture artifacts including context diagrams, decision records, and reference patterns.
• Stay current with data platform research, vendor offerings, and open-source ecosystem developments.

Skills

Communication

Leadership

Stakeholder management

Education

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

Tools

Snowflake

Databricks

BigQuery

Redshift

Spark

Flink

Kafka

Collibra

Alation

DataHub

Job description

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

The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and