What are the responsibilities and job description for the Databricks Architect position at Swanktek?
Job Details
NOTE: Databricks certification is required
Required Skills
15 years in data engineering or architecture, with a strong focus on Databricks (at least 4-5 years) and AI/ML
enablement.
Deep hands-on experience with Apache Spark, Databricks (Azure/AWS), and Delta Lake.
Proficiency in AI/ML pipeline integration using Databricks MLflow or custom model deployment strategies.
Strong knowledge of Apache Airflow, Databricks Jobs, and cloud-native orchestration patterns.
Experience with structured streaming, Kafka, and real-time analytics frameworks.
Proven ability to design and implement cloud-native data architectures.
Solid understanding of data modeling, Lakehouse design principles, and lineage/tracking with Unity Catalog.
Excellent communication and stakeholder engagement skills.
Preferred Qualifications
Certification in Databricks Data Engineering Professional is highly desirable.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Sr. Solutions Architect - Emerging
Databricks -
Denver, CO
Azure Databricks Architect
KnackHook, LLC -
Denver, CO
Architect
DLR Group -
Denver, CO