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Lead Snowflake Solutions Architect
2 months ago
A Lead Snowflake Solutions Architect is an expert responsible for crafting, executing, and enhancing data solutions utilizing the Snowflake cloud data platform. This role is crucial in designing data warehouses, data lakes, and ETL workflows to facilitate effective data storage, processing, and analytics for the organization.
Key Responsibilities:
Data Architecture:
- Collaborate with data architects to create and refine Snowflake data models and schemas.
- Establish and uphold a structured architecture for data warehouses and data lakes.
- Construct ETL (Extract, Transform, Load) workflows to import data from diverse sources into Snowflake.
- Guarantee that data integration workflows are efficient, dependable, and scalable.
- Design and implement data pipelines leveraging Snowflake functionalities such as tasks and streams.
- Refine query performance by developing and managing suitable indexes, materialized views, and clustering keys.
- Detect and address performance hindrances in data processing.
- Craft intricate SQL queries, stored procedures, and user-defined functions (UDFs) to fulfill data analytics and reporting requirements.
- Ensure SQL code adheres to best practices for clarity and performance.
- Establish and oversee security protocols, including role-based access control (RBAC) and data encryption, to safeguard sensitive information.
- Conduct audits and monitor data access and user activities.
- Define and execute data quality assessments and validation procedures to uphold data accuracy.
- Set up data quality standards and alerts to proactively identify issues.
- Create and maintain comprehensive technical documentation for data models, ETL workflows, and data dictionaries.
- Document best practices, standards, and guidelines for Snowflake development.
- Utilize version control systems (e.g., Git) for managing Snowflake SQL scripts and objects.
- Coordinate the deployment of modifications to Snowflake environments.
- Establish monitoring and alerting systems for Snowflake environments to promptly identify and address issues.
- Troubleshoot and resolve incidents related to data processing and performance.
- Develop backup and recovery strategies to ensure data integrity and availability.
- Create and test data recovery protocols.
- Work alongside data engineers, data scientists, and business analysts to comprehend data requirements and deliver data solutions.
- Engage with cross-functional teams to support data-related initiatives.
Qualifications:
- Bachelor's or master's degree in computer science, data engineering, or a related discipline.
- 7+ years of experience as a Snowflake developer or data engineer with an emphasis on data warehousing and ETL.
- Snowflake certification(s) is advantageous.
- Proficient SQL skills and expertise in data modeling and database design.
- Understanding of cloud data warehousing principles and best practices.
- Familiarity with data integration tools and technologies.
- Strong grasp of data governance, data security, and compliance standards.
- Experience with version control systems and deployment methodologies.
- Exceptional problem-solving and troubleshooting capabilities.
- Strong communication and teamwork skills.
- Ability to thrive in an Agile or iterative development environment.
Core Software Technologies is dedicated to delivering top-tier business innovation solutions for organizations. For several years, we have empowered businesses with integrated technologies to meet evolving demands. We collaborate with organizations to build strong, lasting relationships, supported by our expertise and experienced professionals in business technology.