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100% Remote :: Databricks Architect

Prudent Technologies and ConsultingUnited States🇺🇸United StatesPosted Oct 13, 2026

Why This Role Stands Out

Embrace the opportunity to shape enterprise-scale data platforms as a 100% remote Databricks Architect, leveraging cutting-edge cloud technologies and driving significant impact. You'll thrive in this role if you possess a strong data engineering background and enjoy architecting innovative solutions while collaborating with diverse teams. Don't miss this chance to advance your career with a forward-thinking company.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SQLAWSETLMLOpsTableauApacheApache SparkAzureComplianceDatabricksGoogle CloudKafkaPower BIUnity

Job Description

Job Title: Databricks Architect

Location: Bolingbrook, IL (Remote ok)

Duration: 12 Months

Role Summary: The Databricks Architect is responsible for designing, implementing, and governing enterprise-scale data platforms on Databricks. The role focuses on data architecture, cloud integration, data engineering best practices, analytics enablement, and platform optimization across Azure, AWS, or Google Cloud Platform environments.

Responsibilities

  • Design and implement scalable data lakehouse architectures using Databricks.
  • Define enterprise data models, governance standards, and security controls.
  • Lead migration of legacy data warehouses and ETL workloads to Databricks.
  • Architect batch and real-time data processing solutions using Spark.
  • Optimize performance, scalability, reliability, and cost efficiency.
  • Collaborate with business stakeholders, data engineers, data scientists, and cloud architects.
  • Establish CI/CD, monitoring, and operational best practices for data platforms.
  • Provide technical leadership and mentor engineering teams.

Required Skills

  • 8+ years of data engineering and data platform experience.
  • 3+ years of hands-on Databricks architecture experience.
  • Strong expertise in Apache Spark, PySpark, SQL, and Delta Lake.
  • Experience with Azure Databricks, AWS Databricks, or Google Cloud Platform Databricks.
  • Strong expertise in streaming platforms: Google Cloud Platform Pub/Sub, Azure Event Hubs, AWS Kinesis, Apache Kafka
  • Hands-on experience with producer/consumer architecture decisions and trade-offs.
  • Knowledge of data lakehouse architecture and data governance.
  • Experience with data integration tools and orchestration frameworks.
  • Strong understanding of security, access management, and compliance requirements.

Preferred Skills

  • Databricks Certified Data Engineer Professional or equivalent.
  • Experience with Unity Catalog, Delta Live Tables, and Databricks Workflows.
  • Experience with Power BI, Tableau, or other BI platforms.
  • Knowledge of DataOps, DevOps, and MLOps practices.

Education

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • Master's degree preferred.

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