Remote Big Data Architect | Cloud Lakehouse & Analytics

Bright Vision Technologies; Franklin, Brentwood, Nashville (TN, TN, TN); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Big Data Architect to design and lead enterprise-scale data platforms for a remote U.S. audience.

The role focuses on Snowflake, Databricks, BigQuery, Redshift, Spark, and Kafka, building secure, scalable lakehouse architectures across cloud platforms. The ideal candidate has 6+ years in data engineering or architecture, experience with governance and streaming, and will mentor engineers while collaborating with analytics, ML, and business

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.

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.

Skills

Snowflake

Databricks

BigQuery

Redshift

Spark

Kafka

Lakehouse architectures

Cloud platforms

Tools

dbt

LookML

semantic layers

Job description

Bright Vision Technologies is seeking an experienced Big Data Architect to design and lead enterprise-scale data platforms for a remote U.S. audience.

The role focuses on Snowflake, Databricks, BigQuery, Redshift, Spark, and Kafka, building secure, scalable lakehouse architectures across cloud platforms. The ideal candidate has 6+ years in data engineering or architecture, experience with governance and streaming, and will mentor engineers while collaborating with analytics, ML, and business