Senior Remote AI Data Platform Architect

Bright Vision Technologies

Euless, Bedford (TX, TX)

On-site

USD 135,000 - 170,000

Full time

3 days ago

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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.

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 or more years of experience in data engineering with architecture responsibilities.
Deep expertise across 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 balancing latency, cost, reliability, and maintainability for batch and streaming workloads.
Lead governance, lineage, and catalog tool 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 guide 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 best practices.
Produce architecture artifacts like context diagrams, decision records, and reference patterns.
Stay current with data platform research and vendor/open-source developments.