Overview
On Site
Full Time
Skills
Amazon Web Services
Maintenance
Best Practices
Big Data
SQL
Database Modeling
Large-Scale
Informatica
Data Integration
ETL
Data Quality
Technical Leadership
Data Warehousing
data analytics
Data Modeling
GCP
Data Architecture
Job Details
Job Title: Snowflake Architect
Location: Scottsdale, AZ(Onsite)
Job Type: Full Time
Must Have Technical/Functional Skills
The Snowflake Architect will lead the design, development, and maintenance of advanced data infrastructure on the Snowflake platform. This role involves collaborating with cross-functional teams, providing technical leadership, and ensuring that the data architecture is scalable, secure, and aligned with business objectives. The ideal candidate will have extensive experience in data engineering, Snowflake optimization, and cloud-based data warehousing solutions.
Architect & Design: Lead the design and development of data architectures and scalable solutions on the Snowflake platform to support large-scale data analytics.
Leadership & Mentorship: Provide technical guidance and mentorship to junior data engineers, ensuring best practices are followed.
ETL/ELT Strategy: Develop and oversee the implementation of efficient ETL/ELT processes, using Snowflake's native features and third-party tools.
Extensive Snowflake Experience: Deep expertise with Snowflake features, such as Snowpipe, Streams, Tasks, Materialized Views, Marketplace, and Data Sharing.
APIs: Strong expertise in extracting or ingesting data from APIs.
Data Quality: Knowledgeable with Data Quality concepts and best practices.
Data Warehousing: Strong experience in data modeling, data warehousing concepts (e.g., star/snowflake schemas), and big data technologies.
SQL Mastery: Advanced SQL proficiency with a focus on optimization, complex queries, and troubleshooting.
Cloud Expertise: Hands-on experience with cloud environments like AWS, Google Cloud Platform, or Azure, particularly in deploying and managing Snowflake clusters.
ETL/ELT: Proficiency with ETL/ELT tools such as FiveTran, Matillion, Talend, or Informatica, and hands-on experience with data integration processes.
Thanks and Regards,
Murali Sharma
Murali Sharma
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