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Azure Databricks Cloud Architect

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: Avance Consulting
Full Time position
Listed on 2026-03-08
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Job Type :
Permanent

Required Qualifications:

  • 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
  • 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 Git Lab CI, Git Hub Actions, AWS Code Build, Azure Pipelines, and Jenkins
  • Experience designing and implementing complex solutions for distributed systems
  • Experience in leading and mentoring teams

Preferred Qualifications:

  • Strong understanding of retail or CPG data domains
  • 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, Lang Chain

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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