Data Solutions Architect
About The Position
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are seeking a Data Solutions 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.
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.
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 (Snowflake, Databricks, AWS, Azure, GCP).
- Public talks or writing on data architecture.
Responsibilities
- Define and lead the architecture of enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers.
- Drive the strategic direction of data infrastructure.
- Set standards for data modeling and lifecycle management.
- Partner with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation.
- Lead large data platform initiatives across teams.
Benefits
- Tremendous career growth potential
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
