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About the Role
Define and lead the architecture of our 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, and partner with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation.
Responsibilities
- Define and lead the architecture of our enterprise data platform.
- Drive the strategic direction of data infrastructure.
- Set standards for data modeling and lifecycle management.
- Partner with data engineering, analytics, ML, and business stakeholders.
- Deliver a coherent, scalable data foundation.
Requirements
- 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.
- Public talks or writing on data architecture.
Skills
- Snowflake
- Databricks
- BigQuery
- Redshift
- Spark
- Flink
- Kafka
- Data Modeling
- Cloud Platforms
- Networking
- Identity Management
- Cost Optimization
- Data Mesh
- Data Product Architectures
- dbt Semantic Layer
- Cube
- LookML
Location
- 100% Remote (U.S.)
Work Type
- Full-time
- Direct W2
Experience Level
- 6+ years
Education Level
- Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP)
Salary/Compensations
- $145,000–$160,000 Annually
About the Company
- 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.
Equal Opportunity
- Bright Vision Technologies is an Equal Opportunity Employer.
- Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws.
- This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
- BV Teck expressly prohibits any form of workplace harassment or discrimination.
- Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.