Data Architect

1 month ago


Chicago, United States Cloudious LLC Full time
Job DescriptionJob Description
  • Job Title: Data Architect (Snowflake and Azure)
  • Long Term Contract
  • Location: Chicago - IL Onsite (3 days in office)

  • Role: Data Architect
    Key Responsibilities:
    Data Integration and Synchronization:
    Design efficient data synchronization processes between on-premises Oracle databases and Snowflake using Kafka and CDC extraction tools.
    Platform Migration:
    Lead the strategic planning and execution of migrating existing in-house data platforms to cloud, ensuring minimal disruption and data integrity.
    Data Modeling for Snowflake and Databricks:
    Develop efficient data models for cloud database to facilitate scalable data storage, processing, and analytics.
    Data Pipeline Development:
    Architect and implement data pipelines using Airflow and Python.
    Analytics and Reporting:
    Utilize Snowflake and Databricks for advanced reporting and analytics, providing actionable business insights.
    Collaboration and Innovation:
    Work with cross-functional teams to understand data needs and deliver technical solutions, mentoring on best practices.
  • Tools and Skillsets:
    Data Architecture: Demonstrated experience in migrating on-premises data to cloud and setting up stable, scalable frameworks
    Databases: Proficiency in Oracle, Snowflake, and Databricks.
    Data Integration: Experience with Kafka and CDC tools (like Debezium connector) for real-time data synchronization.
    ETL Tools: Expertise in Airflow for data pipeline orchestration.
    Programming: Advanced proficiency in Python for data processing and automation.
    Data Modeling: Strong understanding of data modeling techniques and experience in designing scalable data models for cloud data warehouses.
    Reporting Tools: Familiarity with BI tools and technologies for creating reports and dashboards.
    Cloud Platforms: Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake and Databricks integration.
    Project Management: Experience in leading large-scale data migration and platform integration projects.
    Communication: Excellent verbal and written communication skills for effective collaboration across teams. Strong analytical, problem-solving, and team management skills.

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