Azure Databricks Architect

Overview

On Site
$140,000 - $160,000
Full Time

Skills

Azure Data Lake
Azure Synapse
Azure SQL
Azure Databricks
Apache Spark
data processing
Python
Scala
SQL
Azure Data bricks

Job Details

Job Description Technical/Functional Skills
Experience: Proven experience as a Data Architect or similar role with extensive experience in designing and implementing solutions on Azure Data bricks.
Technical Skills:
  • Proficiency with Azure Data bricks, Apache Spark, and data processing frameworks.
  • Strong experience with Azure services (e.g., Azure Data Lake, Azure Synapse, Azure SQL).
  • Familiarity with data modeling, ETL processes, and data warehousing concepts.
  • Knowledge of programming languages such as
  • Python, Scala, or SQL.
Skills:
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to manage multiple projects and prioritize tasks effectively.
  • Certifications (Preferred): Azure Data Engineer or Azure Solutions Architect certifications.
Roles & Responsibilities
Architecture Design: Design and architect scalable and high-performance data solutions on Azure Databricks, including data pipelines, data lakes, and real-time processing systems.
Implementation: Lead the implementation of Azure Databricks solutions, ensuring best practices for performance, security, and data governance.
Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
Optimization: Monitor and optimize data workflows and queries for performance and cost efficiency.
Collaboration: Work closely with data engineers, data scientists, and business stakeholders to understand requirements and deliver effective solutions.
Governance: Ensure data governance and security policies are implemented and adhered to within the Databricks environment.
Documentation: Create and maintain documentation for architecture, processes, and best practices.
Mentorship: Provide guidance and mentorship to junior team members and help them with technical challenges
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