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Azure Data Analytics Architect at Cloud Analytics Technologies LLC Houston, TX

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Itlearn360
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Azure Data Analytics Architect job at Cloud Analytics Technologies LLC. Houston, TX.

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.
    Soft Skills
    • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
    • Strong problem-solving skills and a proactive approach to identifying and resolving issues.
    • Leadership skills with the ability to manage and mentor a team of data engineers.
    Nice to have Skills
    • Power BI for dashboarding and reporting.
    • Microsoft Fabric for analytics and integration tasks.
    • Spark Streaming for processing real-time data streams.
    • Familiarity with Azure Resource Manager (ARM) templates for infrastructure as code (IaC) practices.
    Experience
  • Demonstrated expertise of 8+ years in developing data ingestion and transformation pipelines using Databricks /Synapse notebooks and Azure Data Factory.
  • Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen
    2.
  • Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation.
  • Proficiency in building and optimizing query layers using Databricks SQL.
  • Demonstrated experience integrating Databricks with Azure Synapse, ADLS Gen2, and Power BI for end-to-end analytics solutions.
  • Prior experience in developing, optimizing, and deploying Power BI reports.
  • Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud-native solutions.
  • #J-18808-Ljbffr
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