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# Databricks Architect - Remote / Telecommute

- **Company:** CYNET SYSTEMS INC.
- **Location:** Bolingbrook, IL, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Information Systems, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, DevOps, Identity and Access Management, Power BI, DataOps, SQL Databases, Data Streaming, Tableau (Software), Google Cloud, Apache Spark, Data Lakes, Pyspark, Kubernetes, Information Technology, Apache Kafka, Data Management, Machine Learning Operations, Data Lakehouse, Stream Processing, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/7dd22752-13fc-4f20-adb1-19175d1e6827

## About the Role

* 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., * 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.
 * Master s degree preferred.

Skills:

 * Databricks.
 * Apache Spark.
 * PySpark.
 * SQL.
 * Delta Lake.
 * Azure.
 * AWS.
 * Google Cloud Platform.
 * Google Cloud Platform Pub/Sub.
 * Azure Event Hubs.
 * AWS Kinesis.
 * Apache Kafka.
 * Data Lakehouse.
 * ETL.
 * CI/CD.

Qualification And Education:

 * Bachelor s degree in Computer Science, Engineering, Information Systems, or related field.

## Description

* 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.


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