Remote Enterprise Data Platform Architect

Bright Vision Technologies

Kirkland (WA)

Remote

USD 100,000 - 150,000

Full time

8 days ago

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Job summary

Bright Vision Technologies in the United States is seeking an Enterprise ServiceNow Architect to define and lead the architecture of a company-wide data platform spanning ingestion, storage, processing, and governance. You will set standards for data modeling, lifecycle management, and data contracts while collaborating with data engineering, analytics, and product teams.

The ideal candidate brings 6+ years of data engineering and architecture experience, deep expertise across Snowflake,

Qualifications

Eight or more years of experience in data engineering, with significant 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.

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 technologies such as 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.