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Data Architect Snowflake
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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.
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