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    Bright Vision Technologies

    Big Data Architect

    Bright Vision Technologies
    Full-time
    Verified Remote
    RemoteUSD 100,000 - 150,000Data ScienceToday

    About this role

    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.

    Job Title: Big Data Architect Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years

    Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary

    We are seeking an experienced Big Data Architect to design and lead enterprise-scale data platforms. The ideal candidate will have expertise in Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, lakehouse architectures, and cloud platforms, with experience building scalable, secure, and high-performance data solutions.

    Key Responsibilities

    • Design and lead enterprise data platform architecture and data pipelines.

    • Build scalable lakehouse, warehouse, and streaming solutions.

    • Define data modeling, governance, security, and architecture standards.

    • Optimize platform performance, scalability, reliability, and cost.

    • Collaborate with data engineering, analytics, ML, and business teams.

    • Mentor engineers and drive data platform best practices.

    Required Qualifications

    • 8+ years of experience in data engineering, including architecture roles.

    • Strong expertise in Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, and cloud platforms.

    • Experience with data modeling, lakehouse architectures, governance, and streaming technologies.

    Preferred Qualifications

    • Experience with data mesh, dbt, LookML, or semantic layers.

    • Cloud certifications (Snowflake, Databricks, AWS, Azure, or GCP) and experience in regulated environments.

    How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com.

    Bright Vision Technologies is an Equal Opportunity Employer.Equal Employment Opportunity (EEO) Statement

    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.

    About Bright Vision Technologies

    Bright Vision Technologies
    Bright Vision Technologies

    Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. The company leverages cutting-edge technologies including large language models, AI-powered architectures, and enterprise integration platforms to create scalable, secure, and user-friendly applications. They specialize in LLM-based application architectures, prompt engineering strategies, and enterprise system integrations such as Coupa procurement solutions. The company is actively expanding its AI and machine learning capabilities while maintaining a focus on production-grade implementations across multiple business domains.

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