Remote Enterprise Data Architect - Lakehouse & Governance

Bright Vision Technologies; South Jordan, Draper (UT, UT); A distancia; USD 100.000 - 150.000; Jornada completa

Descripción de la vacante

Bright Vision Technologies is seeking an Enterprise Data Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers.

The role partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation and drive standards for data modeling and lifecycle management.

Formación

• Eight+ years of data engineering experience with architecture roles.
• Deep expertise across Snowflake, Databricks, BigQuery, or Redshift.
• Hands-on experience with Spark, Flink, or Kafka at production scale.

Responsabilidades

• 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 integration with tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub.

Conocimientos

Architectural leadership

Stakeholder management

Communication

Mentoring

Educación

Bachelor’s or Master’s degree in Computer Science or related field

Herramientas

Snowflake

Databricks

BigQuery

Redshift

Descripción del empleo

Bright Vision Technologies is seeking an Enterprise Data Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers.

The role partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation and drive standards for data modeling and lifecycle management.