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Data and AI Solution Architect (Professional Services)(m/w/x)
Integrating a unified data and AI platform with client systems, designing performant end-to-end data architectures for 10,000+ organizations. Extensive data engineering experience, with Apache Spark™ and cloud platforms (AWS/Azure/GCP) knowledge required. Impact across 10,000+ organizations, diverse client engagements.
Requirements
- Extensive experience in data engineering
- Proficiency in Python or Scala
- Knowledge of AWS, Azure, or GCP
- Experience with Apache Spark™ and internals
- Familiarity with CI/CD for production
- Working knowledge of MLOps
- Design of performant data architectures
- Experience with technical project delivery
- Documentation and white-boarding skills
- Client management and conflict resolution
- Technical skills for Databricks-based solutions
- Willingness to travel to customers
- Databricks Certification (preferred)
Tasks
- Deliver data engineering and data science projects
- Integrate the Databricks platform with client systems
- Design and build performant end-to-end data architectures
- Productionalize customer use cases and reference architectures
- Scope professional services work with engagement managers
- Guide customers through migrations and AI application deployments
- Consult on architecture to drive platform adoption
- Provide escalated support for complex operational issues
- Collaborate with technical teams to meet delivery goals
- Share product feedback with engineering and support teams
- Manage project scope, timelines, and client conflicts
- Conduct technical training and white-boarding sessions
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scala
- AWS
- Azure
- GCP
- Apache Spark™
- CI/CD
- MLOps
- Databricks
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Data and AI Solution Architect (Professional Services)(m/w/x)
Integrating a unified data and AI platform with client systems, designing performant end-to-end data architectures for 10,000+ organizations. Extensive data engineering experience, with Apache Spark™ and cloud platforms (AWS/Azure/GCP) knowledge required. Impact across 10,000+ organizations, diverse client engagements.
Requirements
- Extensive experience in data engineering
- Proficiency in Python or Scala
- Knowledge of AWS, Azure, or GCP
- Experience with Apache Spark™ and internals
- Familiarity with CI/CD for production
- Working knowledge of MLOps
- Design of performant data architectures
- Experience with technical project delivery
- Documentation and white-boarding skills
- Client management and conflict resolution
- Technical skills for Databricks-based solutions
- Willingness to travel to customers
- Databricks Certification (preferred)
Tasks
- Deliver data engineering and data science projects
- Integrate the Databricks platform with client systems
- Design and build performant end-to-end data architectures
- Productionalize customer use cases and reference architectures
- Scope professional services work with engagement managers
- Guide customers through migrations and AI application deployments
- Consult on architecture to drive platform adoption
- Provide escalated support for complex operational issues
- Collaborate with technical teams to meet delivery goals
- Share product feedback with engineering and support teams
- Manage project scope, timelines, and client conflicts
- Conduct technical training and white-boarding sessions
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scala
- AWS
- Azure
- GCP
- Apache Spark™
- CI/CD
- MLOps
- Databricks
About the Company
Databricks
Industry
IT
Description
Databricks is the data and AI company that unifies and democratizes data, analytics, and AI for over 10,000 organizations worldwide.
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