Big Data Architect

Bright Vision Technologies
Chapel Hill, NC, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$100,000.0 - $150,000.0
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Big Data BigQuery Cloud Computing Information Engineering Data Infrastructure Data Systems Snowflake Apache Spark Data Layers Apache Kafka
+5 more
Data Management Video Streaming Data Pipelines Amazon Redshift Databricks

Job description

We are seeking an experienced Big Data Architect to design and lead enterprise-scale data platforms. The ideal candidate will have expertise in Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, lakehouse architectures, and cloud platforms, with experience building scalable, secure, and high-performance data solutions. Key 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.

Requirements

  • 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.

Preferred Qualifications

  • Experience with data mesh, dbt, LookML, or semantic layers.
  • Cloud certifications (Snowflake, Databricks, AWS, Azure, or GCP) and experience in regulated environments.

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Good distractions

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Transforming data architecture from on-premise to cloud

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