Data Architect

Bright Vision Technologies•Edison, NJ
•$115,000 - $165,000•Remote

About The Position

Bright Vision Technologies is seeking a Data Architect to design, build, validate, and support data solutions that provide trusted information for enterprise operations, analytics, and decision-making. The role covers data integration, modeling, quality, performance, and governance. The successful candidate will apply practical expertise in the enterprise platform, tools, and delivery methods relevant to the approved project, collaborate with cross-functional teams, and contribute to reliable, maintainable solutions throughout the delivery lifecycle. This is a remote, full-time, direct W-2 position. The stated annual salary range is $115,000–$165,000. The employer welcomes applications from U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates, but cannot sponsor new H-1B visa petitions for this position.

Requirements

  • Typically 8+ years of experience in a related professional role; the exact threshold must match the approved requisition.
  • Practical experience with the role-specific technology stack, including the enterprise platform, tools, and delivery methods relevant to the approved project.
  • Professional experience in data engineering, analytics, data management, or the platform area relevant to the role.
  • Strong SQL skills and practical experience with the data technologies identified for the position.
  • Understanding of data modeling, ETL/ELT, data validation, and integration patterns.
  • Experience with data quality, security, access controls, and production support.
  • Ability to translate business requirements into accurate and maintainable data solutions.
  • Strong analytical, documentation, and stakeholder communication skills.

Nice To Haves

  • Additional hands-on depth in the enterprise platform, tools, and delivery methods relevant to the approved project.
  • Experience defining solution architecture, technical standards, and design governance across multiple teams.
  • Familiarity with secure development, accessibility, governance, or regulatory requirements where applicable.
  • Relevant professional certifications or advanced training in the role’s technology area.

Responsibilities

  • Develop and maintain data pipelines, transformations, reports, models, or platform components as required by the role.
  • Translate source-to-target and business requirements into validated technical data solutions.
  • Implement data quality checks, access controls, monitoring, and failure-recovery procedures.
  • Tune SQL, processing jobs, models, dashboards, or platform resources for performance and cost.
  • Document data definitions, lineage, operational procedures, and technical decisions.
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