Remote Data Infrastructure Architect – Lakehouse & Cloud Expert

Bright Vision Technologies

Tallahassee (FL)

Remote

USD 175,000 - 200,000

Full time

5 days ago
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Job summary

Bright Vision Technologies is seeking a Data Infrastructure 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 and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation.

Ideal candidates combine deep technical mastery of modern data platforms with architectural

Qualifications

  • 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.

Skills

Data architecture
Snowflake
Databricks
BigQuery
Redshift
Spark
Flink
Kafka
Data modeling
Governance
Cloud platforms
Stakeholder management
Communication
Leadership

Education

Bachelor's degree
Master's degree

Tools

dbt
LookML
Cube

Job description

Bright Vision Technologies is seeking a Data Infrastructure 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 and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation.

Ideal candidates combine deep technical mastery of modern data platforms with architectural

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