Data Platform Architect
About The Position
Bright Vision Technologies is seeking a Data Platform Architect to define and lead the architecture of its enterprise data platform across ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, establishes standards for data modeling and lifecycle management, and works with data engineering, analytics, machine learning, and business stakeholders to build a coherent, scalable data foundation. The ideal candidate has deep expertise in modern data platforms, strong architectural judgment, and experience leading substantial data-platform programs.
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, including significant time in architecture roles.
- Deep expertise in 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 production-scale experience with Spark, Flink, or Kafka.
- Strong data modeling expertise across dimensional, normalized, and data-vault patterns.
- Experience implementing governance, lineage, and catalog capabilities.
- Solid understanding 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.
Nice To Haves
- 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, such as Snowflake, Databricks, AWS, Azure, or GCP.
- Public talks or writing on data architecture.
Responsibilities
- Define and lead enterprise data platform architecture across ingestion, storage, processing, governance, and consumption.
- Drive the strategic direction of data infrastructure.
- Set standards for data modeling and lifecycle management.
- Partner with data engineering, analytics, machine learning, and business stakeholders to deliver a coherent, scalable data foundation.
- Lead large data platform initiatives across teams.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
