Overview
Remote
On Site
Hybrid
Accepts corp to corp applications
Skills
Azure
Databricks
Data Architect
Job Details
Role :Data Architect with Databricks
Location : Remote.
Required Skills & Experience
Bachelors or Masters degree in Computer Science, Data Engineering, Data Science, or related field.
13 years of experience in data engineering, cloud platforms, or data architecture roles.
3+ years of hands-on experience with Databricks, including Delta Lake, MLflow, Workflows, and SQL/PySpark.
Strong knowledge of Azure/AWS/Google Cloud Platform cloud services and data ecosystem tools.
Proven experience designing scalable data lake/data warehouse solutions.
Expertise in Python, SQL, and PySpark for large-scale distributed data processing.
Strong understanding of MLOps principles and ML lifecycle management.
Excellent communication and client-facing consulting skills.
Ability to lead solution design discussions and document architectures clearly.
Preferred Qualifications
Databricks certifications (e.g., Databricks Certified Data Engineer/Architect, ML Professional).
Experience with Unity Catalog, Feature Store, Model Serving, and Lakehouse AI features.
Familiarity with Terraform, Kubernetes, CI/CD pipelines (GitHub Actions, Azure DevOps, etc.).
Experience working with enterprise clients in consulting, professional services, or SI environments.
Location : Remote.
Required Skills & Experience
Bachelors or Masters degree in Computer Science, Data Engineering, Data Science, or related field.
13 years of experience in data engineering, cloud platforms, or data architecture roles.
3+ years of hands-on experience with Databricks, including Delta Lake, MLflow, Workflows, and SQL/PySpark.
Strong knowledge of Azure/AWS/Google Cloud Platform cloud services and data ecosystem tools.
Proven experience designing scalable data lake/data warehouse solutions.
Expertise in Python, SQL, and PySpark for large-scale distributed data processing.
Strong understanding of MLOps principles and ML lifecycle management.
Excellent communication and client-facing consulting skills.
Ability to lead solution design discussions and document architectures clearly.
Preferred Qualifications
Databricks certifications (e.g., Databricks Certified Data Engineer/Architect, ML Professional).
Experience with Unity Catalog, Feature Store, Model Serving, and Lakehouse AI features.
Familiarity with Terraform, Kubernetes, CI/CD pipelines (GitHub Actions, Azure DevOps, etc.).
Experience working with enterprise clients in consulting, professional services, or SI environments.
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.