Remote AI Data Platform Architect

RiseMe

Austin (TX)

On-site

USD 135,000 - 170,000

Full time

4 days ago

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Job summary

Bright Vision Technologies is seeking an AI Data Platform Engineer to lead the architecture of our enterprise data platform, covering ingestion, storage, processing, governance, and consumption layers.

You will drive standards for data modeling, lineage, and lifecycle management, collaborating with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation. Strong architectural judgment is essential.

Qualifications

Eight or more years of experience in data engineering with architecture focus.
Deep expertise across Snowflake, Databricks, BigQuery, or Redshift.
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.

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 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 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 including context diagrams, decision records, and reference patterns.
Stay current with data platform research, vendor offerings, and open-source developments.