Azure Databricks Lead/Architect

1 week ago

Chicago, IL, United States Lorven Technologies Full time
Job Title: Azure Databricks Lead/Architect

Location: Chicago, IL (Hybrid)

Duration: 12 +months

Experience: 12+years

Required Skills & Experience:
  • 12+ years of professional experience in Data Engineering, Architecture, or Data Platforms.
  • 5+ years of hands-on experience with Azure Databricks, Apache Spark, and PySpark.
  • Deep expertise in ETL design, data modelling (Data Vault, Star Schema, Medallion architecture), and query optimization.
  • Strong experience with SQL, Python, and Data Pipeline Orchestration.
  • Hands-on experience in CI/CD practices, GitHub Actions, and version control tools.
  • Expertise in Azure ecosystem (Azure Data Lake Storage, Azure Data Factory, Synapse Analytics, Event Hub, Kafka).
  • Knowledge of structured streaming and real-time data processing.
  • Experience implementing security and governance best practices for cloud-based data platforms.
Responsibilities:
  • Architecture & Strategy:
  • Design and develop scalable Lakehouse architectures that enable high-performance data ingestion, processing, and analytics.
  • Define and enforce best practices for ETL, data modeling, and data governance within the Azure ecosystem.
  • Architect and optimize Medallion Architecture (Bronze, Silver, Gold) for efficient data transformation and analytics.
  • Ensure high availability, security, and performance of Azure Databricks environments.
  • Define data infrastructure strategies, ensuring alignment with business objectives and scalability requirements.
  • Technical Leadership & Development:
  • Provide architectural guidance and hands-on development support for ETL pipelines, batch & streaming solutions in Azure Databricks using PySpark and SQL.
  • Drive the implementation of Data Vault, Star Schema, and Data Warehouse modeling techniques.
  • Implement CI/CD pipelines, version control, and automation to streamline deployment and testing.
  • Lead the integration of Azure Data Services such as Azure Data Factory, Azure Synapse, Delta Lake, and Delta Live Tables.
  • Apply Chaos Engineering practices to ensure system resilience and fault tolerance.
  • Collaboration & Mentorship:
  • Work closely with Product Owners, Data Engineers, Data Scientists, and Business Analysts to deliver high-quality data solutions.
  • Provide technical mentorship to engineering teams, enabling them to follow best practices in Databricks development, ETL, and data pipeline management.
  • Collaborate across departments to design functional and scalable solutions that balance business needs and technical feasibility.
  • Analytics & Optimization:
  • Conduct performance tuning and optimization of Databricks workloads, Spark jobs, and SQL queries.
  • Define and implement monitoring frameworks to track data quality, lineage, and processing performance.
  • Design efficient data governance, access control, and security policies for Databricks and Azure environments.
  • Lead root-cause analysis and problem-solving for complex data engineering challenges.
Preferred Skills (Bonus Points):
  • Experience with Snowflake and BI Tools (Power BI, Tableau).
  • Exposure to Graph Databases and Knowledge Graphs.
  • Familiarity with Machine Learning or AI-based data solutions in Databricks.
  • Experience in Python library development for reusable data processing functions.

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