Data Architect Lead
4 days ago
Job Description
">The ideal candidate will have hands-on experience with Snowflake architecture, data warehousing, data lakes, serverless/cloud automation, and AI/LLM concepts. As a data architect, you will lead the design, implementation, and optimization of scalable data solutions on Snowflake.
">Key Responsibilities:
">- ">
- Design and deliver end-to-end data solutions on Snowflake.">
- Demonstrate expertise in data warehousing concepts and work with various data types.">
- Apply knowledge of Snowflake architecture (compute, storage, security, data sharing).">
- Use Snowflake native load utilities for data ingestion and transformation.">
- Develop and manage API-based integrations and automation.">
- Lead data governance, quality, security, and compliance efforts.">
- Optimize performance and manage costs.">
- Oversee Snowflake infrastructure provisioning, scaling, and monitoring.">
- Drive meetings and translate business needs.">
- Foster innovation in data architecture, analytics, and AI-driven solutions.">
- Collaborate with cross-functional teams.">
Requirements:
">- ">
- Bachelor's/master's in computer science, IT, or related field.">
- 4-12 years of Snowflake Data Cloud experience.">
- Deep understanding of Snowflake architecture and ecosystem.">
- Strong grasp of data warehousing concepts and diverse data structures.">
- Expertise in Snowflake native load utilities.">
- API integration and automation experience.">
- Data governance, security, and compliance background.">
- Performance optimization and cost management skills.">
- Experience with Snowflake infrastructure management.">
- Excellent communication and stakeholder management.">
- Innovative, AI-driven mindset.">
Preferred Qualifications:
">- ">
- Familiarity with data modelling, Python, Pyspark, and warehousing best practices.">
- Exposure to MLOps, AI/ML pipelines, or deploying AI models.">
- Snowflake or relevant cloud certifications.">
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