Remote Big Data Architect — Lead Scalable Data Platforms

Socket.dev; Columbus, Dublin (OH, OH); On-site; 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 and pipelines. The ideal candidate will leverage Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, and lakehouse architectures to build scalable, secure, and high-performance data solutions.

You will collaborate across data engineering, analytics, ML, and business teams, mentor engineers, and define standards for data governance, security, and architecture.

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

Cloud platforms

Data modeling

Data governance

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 and pipelines. The ideal candidate will leverage Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, and lakehouse architectures to build scalable, secure, and high-performance data solutions.

You will collaborate across data engineering, analytics, ML, and business teams, mentor engineers, and define standards for data governance, security, and architecture.