Kaizen Technologies ยท 10 hours ago
Databricks Architect with AI/ML
Denver, CO
Contract
Hybrid
Senior Level, Lead/Staff
12+ years expKaizen Technologies is seeking a Databricks Architect with a focus on AI/ML to join their team. The role involves designing and implementing cloud-native data architectures and integrating AI/ML pipelines using Databricks.
ComputerInternetSoftware
Hiring Manager
Noel Martin
Responsibilities
12+ years in data engineering or architecture, with a strong focus on Databricks (at least 4-5 years) and AI/MLenablement
Deep hands-on experience with Apache Spark, 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
Certification in Databricks Data Engineering Professional is highly desirable
Experience transitioning from in house data platforms to Databricks or cloud-native environments
Hands-on experience with Delta Lake, Unity Catalog, and performance tuning in Databricks
Expertise in Apache Airflow DAG design, dynamic workflows, and production troubleshooting
Experience with CI/CD pipelines, Infrastructure-as-Code (Terraform, ARM templates), and DevOps practices
Exposure to AI/ML model integration within real-time or batch data pipelines
Exposure to MLOps, MLflow, Feature Store, and model monitoring in production environments
Experience with LLM/GenAI enablement, vectorized data, embedding storage
Integration with Databricks is an added advantage
Qualification
Required
12+ 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, 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
Certification in Databricks Data Engineering Professional is highly desirable
Experience transitioning from in house data platforms to Databricks or cloud-native environments
Hands-on experience with Delta Lake, Unity Catalog, and performance tuning in Databricks
Expertise in Apache Airflow DAG design, dynamic workflows, and production troubleshooting
Experience with CI/CD pipelines, Infrastructure-as-Code (Terraform, ARM templates), and DevOps practices
Exposure to AI/ML model integration within real-time or batch data pipelines
Exposure to MLOps, MLflow, Feature Store, and model monitoring in production environments
Experience with LLM/GenAI enablement, vectorized data, embedding storage
Integration with Databricks is an added advantage
Company
Kaizen Technologies
Kaizen Technologies has been providing superior information technology talent and solutions to private and public sector clients.
201-500 employees
H1B Sponsorship
Kaizen Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (26)
2024 (38)
2023 (54)
2022 (47)
2021 (42)
2020 (48)
Funding
Current Stage
Growth StageCompany data provided by crunchbase