Data Architect Snowflake

Overview

As a Data Engineering Architect specializing in Snowflake, you will be responsible for designing and implementing robust data pipelines, managing data migration projects, and providing pre-sales support to our clients. You will work closely with cross-functional teams to ensure the successful delivery of data solutions that meet business requirements.

Responsibilities

Key Responsibilities:

• Data Pipeline Design:
• Design, develop, and optimize scalable data pipelines to ingest, process, and store large volumes of data in Snowflake.
• Implement ETL/ELT processes to ensure data quality and integrity.
• Data Migration:
• Lead data migration projects from on-premises or other cloud platforms to Snowflake.
• Develop migration strategies, including data mapping, transformation, and validation processes.
• Architecture and Best Practices:
• Define and implement best practices for data architecture, data modeling, and data governance within Snowflake.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure alignment with business goals.
• Pre-Sales Support:
• Assist the sales team in pre-sales activities, including technical presentations, solution demonstrations, and proposal development.
• Engage with clients to understand their data needs and provide tailored solutions leveraging Snowflake.
• Collaboration and Leadership:
• Work closely with cross-functional teams, including data analysts, data scientists, and business stakeholders, to deliver data-driven solutions.
• Mentor and guide junior data en
  
  
  

• Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• 10 to 15 years of experience in data engineering, with a focus on data architecture and pipeline design.
• Strong expertise in Snowflake, including data warehousing, data modeling, and performance tuning.
• Experience with data migration projects, including knowledge of ETL/ELT tools and methodologies.
• Familiarity with cloud platforms (AWS, Azure, GCP) and data integration tools (e.g., Apache NiFi, Talend, Informatica).
• Excellent communication and presentation skills, with the ability to engage with technical and non-technical stakeholders.
• Proven experience in pre-sales support and client engagement is a plus.