Qualified Pipeline - Snowflake Architect

Snowflake Architect – Qualified Pipeline

Location: USA, Latin America, India

Position Type: Full time or Part Time

Position Summary

Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and LATAM. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We are dedicated to bringing premier services to our diverse clientele. We have a global team of 95+ consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture.

Position Overview

Data Meaning is actively seeking experienced Snowflake Architects to join our team as we proactively build a highly skilled candidate pipeline. As a Snowflake Architect, you will play a crucial role in designing, implementing, and optimizing data solutions using Snowflake's cloud data platform. Your expertise will contribute to the success of our clients' data initiatives, helping them harness the power of data to drive their business forward.

Responsibilities:

• Collaborate with clients and internal teams to gather requirements and design data solutions using Snowflake.

• Architect, build, and optimize Snowflake data warehouses, ensuring scalability, performance, and security.

• Develop and implement data integration strategies, including data pipelines and ETL processes.

• Provide guidance on best practices for data modeling, schema design, and data governance within the Snowflake platform.

• Optimize query performance and troubleshoot issues within Snowflake environments.

• Stay up-to-date with Snowflake platform updates and industry best practices to continuously enhance our data solutions.

• Collaborate with cross-functional teams to ensure successful project delivery and client satisfaction.

Qualifications:

• Proven experience as a Snowflake Architect or a similar role in cloud data architecture.

• Strong expertise in Snowflake's cloud data platform, including data modeling, architecture, and administration.

• Proficiency in SQL, ETL processes, and data integration.

• Familiarity with data warehousing concepts and best practices.

• Excellent problem-solving skills and the ability to optimize data solutions for performance and scalability.

• Strong communication skills and the ability to work effectively with clients and cross-functional teams.

• Relevant certifications in Snowflake or cloud platforms are a plus.