Remote Enterprise Data Architect – Lakehouse Leader

Bright Vision Technologies; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

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

The role partners with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation, combining deep technical mastery with architectural judgment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
• Eight or more years of experience in data engineering with significant time in architecture roles.
• 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.
• Experience implementing governance, lineage, and catalog capabilities.
• Solid grasp of cloud platforms, networking, identity, and cost optimization.

Responsibilities

• Define the target-state architecture of the enterprise data platform across 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.
• Lead governance, lineage, and catalog tooling integrations (Collibra, Alation, Atlan, Unity Catalog, DataHub).
• Define security architecture including row- and column-level controls, masking, and encryption.
• 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/warehouse design proposals.
• Drive cost optimization and capacity planning across the data platform estate.
• Design disaster recovery, multi-region, and HA strategies for critical assets.
• Mentor engineers and architects on standards and best practices.
• Produce architecture artifacts and stay current with data platform developments.

Skills

Data architecture

Stakeholder management

Cloud platforms

Data modeling

Communication

Architecture reviews

Education

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

Tools

Snowflake

Databricks

BigQuery

Redshift

Spark

Kafka

Job description

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

The role partners with data engineering, analytics, ML, and business stakeholders to deliver a scalable data foundation, combining deep technical mastery with architectural judgment.