Databricks Architect

Rapid Eagle Inc.

Atlanta, GA, United States

22 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$145,600.0 - $176,800.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Amazon Web Services Microsoft Azure Big Data Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing Software Design Patterns Python (Programming Language) Performance Tuning SQL Databases

+7 more

Google Cloud Cloud Platform System System Availability Apache Spark Data Lakes Data Lakehouse Databricks

Job description

Design, build, and optimize enterprise-scale Databricks and data lakehouse architectures
Develop and maintain data pipelines using Apache Spark, Delta Lake, and related technologies
Collaborate with data engineers, analysts, and business stakeholders to define technical requirements
Establish best practices for data governance, security, and performance tuning within Databricks
Lead cloud data platform integrations across AWS, Azure, or GCP environments
Provide technical guidance and mentorship to junior data engineering team members
Monitor, troubleshoot, and continuously improve platform reliability and efficiency

Requirements

5+ years of experience in data architecture, data engineering, or a related field
Hands-on expertise with Databricks, Apache Spark, and Delta Lake
Proficiency in Python, Scala, or SQL for large-scale data processing
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
Strong understanding of data lakehouse, data warehouse, and ETL/ELT design patterns
Databricks Certified Associate or Professional certification is a plus
Excellent communication skills with the ability to translate complex technical concepts to stakeholders

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