Snowflake Architect

Position: Snowflake Architect

Purpose of the Position

The Snowflake Architect will be responsible for designing, implementing, and optimizing data solutions using Snowflake. This role involves collaborating with cross-functional teams to ensure data architecture aligns with business goals, enhances data quality, and supports advanced analytics and reporting needs. The architect will play a key role in driving data strategy, ensuring scalability, and maintaining best practices in data management.

Key Result Areas (KRAs)

Data Architecture Design

Develop and maintain scalable, efficient, and secure data architectures using Snowflake. Ensure alignment with business requirements and industry best practices.

Data Quality and Governance

Implement and enforce data quality standards and governance policies. Monitor data integrity and accuracy across all data pipelines and storage solutions.

Performance Optimization

Optimize data models, queries, and ETL/ELT processes for maximum performance and cost-efficiency. Conduct regular performance tuning and troubleshooting.

Collaboration and Communication

Work closely with data engineers, analysts, and business stakeholders to understand data needs and deliver solutions. Provide technical guidance and mentorship to team members.

Innovation and Continuous Improvement

Stay updated with the latest trends and advancements in data technologies. Propose and implement innovative solutions to improve data processing, storage, and analysis capabilities.

Essential Skills

• Snowflake Expertise: Deep understanding of Snowflake architecture, features, and best practices.
• SQL Mastery: Advanced SQL skills for querying, optimizing, and managing data.
• Data Warehousing: Strong background in data warehousing concepts and methodologies.
• ETL/ELT Processes: Proficiency in designing and implementing ETL/ELT processes.
• Cloud Platforms: Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.

Desirable Skills

• Python or R: Knowledge of Python or R for data manipulation and analysis.
• Data Visualization: Experience with data visualization tools (e.g., Tableau, Power BI).
• Big Data Technologies: Familiarity with big data technologies (e.g., Hadoop, Spark).
• Data Governance: Understanding of data governance and compliance standards.
• Agile Methodologies: Experience working in Agile development environments.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Information Technology, Data Science, or a related field.
• 8+ years of experience
• Proven track record of designing and implementing data solutions using Snowflake.

Qualities

• Analytical Mindset: Strong analytical and problem-solving skills.
• Collaboration: Excellent communication and teamwork abilities.
• Detail-Oriented: High attention to detail and commitment to data quality.
• Adaptability: Ability to adapt to changing business needs and technologies.
• Leadership: Demonstrated leadership skills and the ability to mentor junior team members.