Data Architect (AIML & Databricks)
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Job Location:
Denver, CO - USA
Monthly Salary:
Not Disclosed
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title:Data Architect (AI/ML & Databricks)
Location:Denver CO (Onsite)
Job Type: Full Time - (Salary Benefits)
Min Experience- 14 Years
Required Skills / Qualifications
14 years of experience in data engineering or data architecture with a strong focus onDatabricks (4-5 years)andAI/ML enablement
Strong hands-on experience withApache SparkandDelta Lake
Expertisein AI/ML pipeline integration usingDatabricks MLflowand/or custom model deployment strategies
Strong knowledge ofApache AirflowDatabricks Jobs and cloud-native orchestration patterns
Experience withStructured StreamingKafka and real-time analytics frameworks
Proven ability to design and implementcloud-native data architectures
Solid understanding ofdata modelingLakehouse design principles anddata lineage/tracking using Unity Catalog
Excellent communication skills and experience working with stakeholders
Preferred Qualifications
Databricks Data Engineering Professional Certification(highly desirable)
Experience transitioning from in-house data platforms toDatabricks / cloud-native environments
Hands-on experience withDelta LakeUnity Catalog andperformance tuning in Databricks
Expertise inAirflow DAG design dynamic workflows and production troubleshooting
Experience withCI/CD pipelinesInfrastructure-as-Code(Terraform ARM templates) and DevOps practices
Exposure to AI/ML model integration in real-time and batch data pipelines
Exposure toMLOpsMLflowFeature Store and production model monitoring
Experience withLLM/GenAI enablement vectorized data embedding storage and Databricks integration (added advantage)
Location:Denver CO (Onsite)
Job Type: Full Time - (Salary Benefits)
Min Experience- 14 Years
Required Skills / Qualifications
14 years of experience in data engineering or data architecture with a strong focus onDatabricks (4-5 years)andAI/ML enablement
Strong hands-on experience withApache SparkandDelta Lake
Expertisein AI/ML pipeline integration usingDatabricks MLflowand/or custom model deployment strategies
Strong knowledge ofApache AirflowDatabricks Jobs and cloud-native orchestration patterns
Experience withStructured StreamingKafka and real-time analytics frameworks
Proven ability to design and implementcloud-native data architectures
Solid understanding ofdata modelingLakehouse design principles anddata lineage/tracking using Unity Catalog
Excellent communication skills and experience working with stakeholders
Preferred Qualifications
Databricks Data Engineering Professional Certification(highly desirable)
Experience transitioning from in-house data platforms toDatabricks / cloud-native environments
Hands-on experience withDelta LakeUnity Catalog andperformance tuning in Databricks
Expertise inAirflow DAG design dynamic workflows and production troubleshooting
Experience withCI/CD pipelinesInfrastructure-as-Code(Terraform ARM templates) and DevOps practices
Exposure to AI/ML model integration in real-time and batch data pipelines
Exposure toMLOpsMLflowFeature Store and production model monitoring
Experience withLLM/GenAI enablement vectorized data embedding storage and Databricks integration (added advantage)
Required Skills:
AIdatabricksmlflowApache Spark
Key Skills
- Fund Management
- Drafting
- End User Support
- Infrastructure
- Airlines
- Catia
