Remote Enterprise Data Architect & Platform Lead

Bright Vision Technologies

Eden Prairie (MN)

Remote

USD 100,000 - 150,000

Full time

7 days ago

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Job summary

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 drives the strategic direction of data infrastructure and sets standards for data modeling and lifecycle management.

Collaboration with data engineering, analytics, ML, and business stakeholders is essential to deliver a scalable foundation.

Qualifications

Bachel or Master in CS/IS or related field.
8+ years of experience in data engineering with architecture focus.
Deep expertise across Snowflake, Databricks, BigQuery, or Redshift.
Strong understanding of lakehouse architectures and modern table formats.
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.
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 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.