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Senior Snowflake Technical Lead

1 month ago

Lake Mary, United States Siri InfoSolutions Inc Full time
Job DescriptionJob Description

Title: Senior Snowflake Technical Lead / Architect

Location: Lake Mary, Florida (Day 1 Onsite)

Job Description:

Key Responsibility for the Reporting Data SME -

  • Translating business requirements into databases, data warehouses, and data streams.
  • Designing the logical and physical structures of data systems, such as data warehouses and other data stores.
  • Understanding the available data sources and matching these to a business's strategy and objectives.
  • Analyzing, planning, and defining data architecture framework, including security, reference data, metadata, and master data.
  • Creating and implementing data management processes and procedures.
  • Creating procedures to ensure data accuracy and accessibility.

The Data Lead / Architect will be responsible for designing, implementing, and managing scalable data architectures in Snowflake. The ideal candidate will have extensive experience with high-volume data aggregation, data warehousing, and performance optimization. This role will involve working closely with data engineers, analysts, and other stakeholders to ensure data integrity, accessibility, and usability.

Key Responsibilities:

  • Architecture Design: Design and implement scalable, efficient, and secure data architectures in Snowflake.
  • Data Modeling: Develop and maintain robust data models to support high-volume data aggregation and complex analytical queries.
  • ETL Processes: Design and optimize ETL (Extract, Transform, Load) processes to handle large volumes of data efficiently.
  • Performance Tuning: Implement performance tuning techniques to optimize query performance and resource utilization in Snowflake.
  • Data Integration: Integrate data from various sources, ensuring seamless data flow and data integrity.
  • Security: Implement data security best practices, including data masking, encryption, and access controls.
  • Collaboration: Work closely with data engineers, data analysts, and business stakeholders to gather requirements and deliver data solutions that meet business needs.
  • Documentation: Create and maintain comprehensive documentation of data architectures, models, and processes.
  • Innovation: Stay current with industry trends and advancements in data architecture, data warehousing, and Snowflake capabilities.

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