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Azure Databricks Architect (Blue Ash)
Azure Databricks Architect (Blue Ash)VBeyond Corporation • Blue Ash, OH, US
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Azure Databricks Architect (Blue Ash)

Azure Databricks Architect (Blue Ash)

VBeyond Corporation • Blue Ash, OH, US
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  • [job_card.part_time]
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Required Qualifications :

  • Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 11 years of experience with Information Technology.
  • Proven years of hands-on experience in architecting solutions on Azure, Databricks and Spark
  • Proficiency in data engineering tools : Spark, Kafka, Airflow, SQL, Python.
  • Strong understanding of retail or CPG data domains
  • Familiarity with vector search and semantic retrieval for retail use cases.
  • Expertise in data privacy and compliance in consumer-facing environments
  • Good experience in end-to-end implementation of data warehouse and data marts
  • Strong understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design
  • Extensive experience with CI / CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, Azure Pipelines, and Jenkins
  • Experience designing and implementing complex solutions for distributed systems
  • Experience in leading and mentoring teams

Preferred Qualifications :

  • Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
  • Familiarity with log and monitoring solutions
  • Experience in utilizing development containers, unit testing / code quality review / linting - standard best practice
  • Good understanding of Agile software development frameworks
  • Strong communication and Analytical skills
  • Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
  • Experience and desire to work in a global delivery environment
  • Experience with Generative AI frameworks : OpenAI, Hugging Face, LangChain
  • Knowledge of Model Context Protocol (MCP) or similar AI integration standards.
  • Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads
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