Databricks Architect

Bright Vision Technologies•Fremont, CA
•$115,000 - $165,000•Remote

About The Position

Bright Vision Technologies is seeking a Databricks Architect to design, build, validate, and support data solutions that make trusted information available 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 Databricks, Apache Spark, Delta Lake, Python/Scala, SQL, lakehouse design, and pipeline orchestration, collaborate with cross-functional teams, and contribute to reliable, maintainable solutions throughout the delivery lifecycle. This is a full-time, direct W-2 position performed remotely. It is not open to C2C or 1099 arrangements. The salary range is $115,000–$165,000 annually. Bright Vision Technologies cannot sponsor new H-1B visa petitions for this position; U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.

Requirements

  • Typically 8+ years of experience in a related professional role; the exact threshold must match the approved requisition.
  • Practical experience with Databricks, Apache Spark, Delta Lake, Python/Scala, SQL, lakehouse design, and pipeline orchestration.
  • 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 Databricks, Apache Spark, Delta Lake, Python/Scala, SQL, lakehouse design, and pipeline orchestration.
  • 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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