Big Data Architect
Bright Vision Technologies
Fishers, IN, United States
9 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
Job source
Tech stack
Amazon Web Services
Microsoft Azure
Big Data
BigQuery
Cloud Computing
Information Engineering
Data Infrastructure
Data Systems
Data Mesh
Snowflake
Apache Spark
Data Layers
+6 more
Apache Kafka
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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