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Data Architect

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Aroha Technologies Inc
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Engineering, Azure, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks/Fabric. The ideal candidate will have a deep understanding of big data technologies, data engineering, and cloud computing, with a strong focus on Azure Databricks along with Strong SQL.
  • Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions.
  • Oversee the end-to-end implementation of data solutions, ensuring alignment with business requirements and best practices.
  • Lead the development of data pipelines and ETL processes using Azure Databricks, PySpark, and other relevant tools.
  • Integrate Azure Databricks with other Azure services (e.g., Azure Data Lake, Azure Synapse, Azure Data Factory) and on-premise systems.
  • Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement.
  • Ensure proper documentation of architecture, processes, and data flows, while ensuring compliance with security and governance standards.
  • Ensure best practices are followed in terms of code quality, data security, and scalability.
  • Stay updated with the latest developments in Databricks and associated technologies to drive innovation.
  • Essential Skills
    • Strong experience with Azure Databricks, including cluster management, notebook development, and Delta Lake.
    • Proficiency in big data technologies (e.g., Hadoop, Spark) and data processing frameworks (e.g., PySpark).
    • Deep understanding of Azure services like Azure Data Lake, Azure Synapse, and Azure Data Factory.
    • Experience with ETL/ELT processes, data warehousing, and building data lakes.
    • Strong SQL skills and familiarity with No

      SQL databases.
    • Experience with CI/CD pipelines and version control systems like Git.
    • Knowledge of cloud security best practices.
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