Databricks Architect

Job Title: Databricks Architect

Location: Bolingbrook, IL (Remote ok)

Duration: 12 Months

No. of position: 1

Rate: $55/hr W2

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 GCP 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 GCP Databricks.

" Strong expertise in streaming platforms: GCP 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.