Snowflake Architect

Job Summary:

We are seeking a highly experienced Snowflake Architect with a strong consulting background to lead the design, development, and implementation of Snowflake-based data platforms for our enterprise clients. The ideal candidate will possess deep technical expertise in Snowflake and cloud data ecosystems, strong client-facing skills, and a track record of delivering scalable data architecture solutions across multiple industries.

Key Responsibilities:

• Solution Design: Architect end-to-end data solutions on Snowflake, including data ingestion, transformation, governance, and access control.
• Client Engagement: Act as a trusted advisor to clients, understanding their business needs and translating them into scalable Snowflake-based architectures.
• Implementation Leadership: Oversee the implementation of Snowflake solutions and guide technical teams across ETL/ELT, data modeling, and performance tuning.
• Data Integration: Work with various data sources (structured, semi-structured) and third-party tools (e.g., Fivetran, dbt, Informatica).
• Best Practices: Establish Snowflake development standards, CI/CD pipelines, and ensure data security, compliance, and cost optimization.
• Workshops & Presentations: Lead workshops, PoCs, and technical presentations for clients and internal stakeholders.
• Mentorship: Guide and mentor junior team members on Snowflake and data architecture best practices.

Required Skills & Experience:

• Strong hands-on experience with Snowflake, including data modeling, performance tuning, and data sharing features.
• Proven experience working in a consulting environment, managing client expectations, and delivering solutions across industries.
• Solid understanding of cloud platforms (AWS/GCP/Azure) and experience with cloud-native services.
• Proficiency in SQL, Python, and ETL/ELT tools (e.g., dbt, Matillion, Informatica).
• Experience integrating Snowflake with BI tools like Tableau, Power BI, or Looker.
• Excellent communication and client-facing skills with the ability to translate business needs into technical solutions.
• Familiarity with data governance, data quality, and security frameworks.

Preferred Qualifications:

• Snowflake certification (e.g., SnowPro Advanced: Architect)
• Experience with data lakes, data mesh, or modern data stack concepts.
• Prior experience in pre-sales, proposal building, or stakeholder alignment.

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.