Data Platform Architect

Role Overview

We are seeking a Data Platform 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.

What You Will Do

Define the target-state architecture of the enterprise data platform, establish standards for data modeling, architect lakehouse, warehouse, and streaming patterns, design end-to-end data pipelines, lead the integration of governance, lineage, and catalog tools, define security architecture, partner with ML, BI, and product teams, establish data contract and data product principles, lead architecture reviews, drive cost optimization and capacity planning, design disaster recovery, multi-region, and high-availability strategies, mentor data engineers and architects, produce architecture artifacts, and stay current with data platform research.

Why It Might Be a Fit

The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, has led data-platform programs of meaningful scope and complexity, and has a track record of leading large data platform initiatives across teams.

Requirements

• 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

Benefits

• Competitive base salary commensurate with experience, plus benefits
• 100% remote work option
• Long-term, multi-year employment engagement
• Direct W2 employment with Bright Vision Technologies
• No C2C, 1099, or third-party arrangements