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Senior technical lead
2 months ago
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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