Principal Data Architect

Role Responsibilities:
As a Snowflake Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architecture solutions leveraging Snowflake. Your key responsibilities include:

1. Data Architecture Design and Implementation

   • Design end-to-end data architecture solutions using Snowflake.
   • Create scalable, secure, and resilient data models and pipelines.
   • Develop strategies for data acquisition, storage, processing, and integration.
   • Design data models (e.g., star and snowflake schemas) for optimal performance.

2. Data Warehousing and Pipeline Optimization

   • Implement data warehousing best practices, including data partitioning, clustering, and indexing.
   • Design and develop ETL/ELT workflows and processes for data ingestion into Snowflake.
   • Optimize ETL/ELT processes for scalability and performance.
   • Collaborate with data engineers to automate and orchestrate data pipelines.

3. System Performance and Optimization

   • Monitor and tune Snowflake performance for efficient query execution and resource utilization.
   • Implement query optimization techniques, caching, and workload management.
   • Conduct regular audits and troubleshoot to maintain system performance.

4. Data Security and Governance

   • Implement data security measures, including access controls, encryption, and data masking.
   • Ensure compliance with data governance policies and regulatory requirements.
   • Develop and enforce data governance best practices within the Snowflake environment.

5. Leadership and Collaboration

   • Provide technical leadership and mentorship to junior architects and data engineers.
   • Document architectural designs, data flows, and processes for knowledge sharing.
   • Stay updated with Snowflake advancements and industry trends to recommend improvements.
   • Lead initiatives to enhance data platform capabilities and performance.

Role Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience of at least 7+ years in data architecture, data warehousing, and data engineering.
• Strong expertise in Snowflake and its ecosystem.
• Experience with ETL/ELT workflows, Azure durable functions, and data pipeline automation.
• Deep understanding of data modeling, query optimization, and performance tuning.
• Familiarity with data governance, compliance standards, and security best practices.
• Excellent problem-solving skills and ability to work collaboratively across teams.

Why Join Us?

• Work with a cutting-edge data platform to solve complex business challenges.
• Collaborate with a talented and passionate team of data professionals.
• Opportunity to influence and drive innovation in data architecture and engineering.