Data Platform Architect
$100,000–$150,000 year
Remote · Lawrenceville, Georgia, United States
Job Summary
Data Platform Architect to define and lead the architecture of the enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. 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. Combines deep technical mastery of modern data platforms with architectural judgment, and has led data-platform programs of meaningful scope and complexity. Responsibilities include establishing standards for data modeling and storage, architecting lakehouse/warehouse/streaming patterns with Snowflake/Databricks/BigQuery/Redshift/Iceberg/Delta Lake/Hudi, designing end-to-end pipelines for both batch and streaming workloads, integrating governance and catalog tools, defining security architectures, aligning platform capabilities with downstream needs, driving cost optimization, and mentoring engineers; producing architecture artifacts and keeping current with data platform developments.
Required Qualifications
- 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
- Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
- Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
- 100% remote within Continental United States
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