Databricks Architect

Themesoft Inc; Bolingbrook (IL); Vor Ort; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

The Databricks Architect at Themesoft Inc will design, implement, and govern enterprise-scale data platforms on Databricks, focusing on data architecture, cloud integration, analytics enablement, and platform optimization across Azure, AWS, or GCP.

You will lead migration of legacy data warehouses, define enterprise data models and security controls, and provide technical leadership to data engineers, data scientists, and cloud architects.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Databricks architecture

Apache Spark

PySpark

SQL

Delta Lake

Data governance

Cloud platforms (Azure/AWS/GCP)

Streaming data

Data modeling

CI/CD for data platforms

Ausbildung

Bachelor's degree in CS/Engineering/IS

Master's degree preferred

Tools

Databricks

Unity Catalog

Delta Live Tables

Databricks Workflows

Jobbeschreibung

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.

Applicants must be legally authorized to work in the United States.

Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.