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.
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