Databricks Solution Architect

VHL Technologies
King of Prussia, PA, United States
9 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
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Cloud Engineering Computer Programming Data Architecture Information Engineering Data Governance Data Warehousing Python (Programming Language) Performance Tuning Azure Machine Learning Data Streaming Large Language Models
+8 more
Apache Spark Generative AI Data Lakes Pyspark Apache Kafka Machine Learning Operations Video Streaming Databricks

Requirements

· 12+ years of experience in Data Engineering, Data Architecture, Cloud Architecture, or related fields.

· 5+ years of strong Databricks experience, including architecture and implementation.

· Strong hands-on experience with:

· Databricks Lakehouse Platform

· Apache Spark / PySpark

· Delta Lake

· Unity Catalog

· Databricks SQL, Databricks Workflows / Jobs, Delta Live Tables / Lakeflow

· Data governance and security

· Strong understanding of Data Lake, Data Warehouse, and Lakehouse architectures.

· Experience designing enterprise-scale batch and real-time/streaming data pipelines.

· Strong programming experience with Python and/or Scala.

· Strong SQL development and performance-tuning skills.

Preferred Skills

· Databricks certifications are highly preferred.

· Experience with MLflow, Model Serving, Mosaic AI, and Generative AI.

· Experience with LLM/RAG architectures and AI/ML platforms.

· Experience with Kafka or other event-streaming technologies.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

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Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

1:41 min

Visualizing the complex developer journey for JVM ecosystems

Bobur Umurzokov · LIVE

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Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

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