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# Data Infrastructure Architect

- **Company:** Bright Vision Technologies
- **Location:** Ashburn, VA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $175,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Information Systems, Data Architecture, Information Engineering, Data Infrastructure, Google Cloud, Snowflake, Apache Spark, Data Layers, Information Technology, Apache Flink, Apache Kafka, Data Management, Stream Processing, Databricks
- **Published:** July 30, 2026
- **Apply:** https://www.careerjet.com/jobad/usc54d5c347720f6497076792482a0ff1d

## About the Role

* Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
 * Eight or more years of experience in data engineering, with significant time in architecture roles.
 * Deep expertise across at least two major data platforms such as 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.
 * 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 skills.
 * Track record of leading large data platform initiatives across teams., * Experience with data mesh or data product architectures.
 * Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML.
 * Exposure to regulated industries with strict data residency or audit requirements.
 * Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP).
 * Public talks or writing on data architecture.

## Description

We are seeking a Data Infrastructure 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, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity.


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