Solutions Architect, Data Engineering

Solutions Architect

Snowflake is about empowering enterprises to achieve their full potential - and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology - and careers - to the next level. Enterprises are modernizing data platforms and processes at a growing rate to meet the demands of their customers. A majority of this journey requires not just technical expertise but also the ability to drive predictability, and manage complexity. Snowflake's Professional Services Organization offers our customers a market-leading set of technical capabilities as well as best practices for modernization based on experienced leadership. Our portfolio of modernization solutions spans data migrations, validation, application development, data sharing, lakehouse implementations, and data science. As a Solutions Architect in our team, you will be responsible for delivering exceptional outcomes for our teams and customers during our modernization projects, with a focus on modern data architectures including lakehouses and streaming data. You will engage with customers to migrate from legacy data platforms, including those based on Cloudera, and build modern data pipelines and lakehouse solutions on Snowflake. You will act as the technical lead and expert for our customers throughout this process. In addition to customer engagements, you will work with our internal team to provide requirements for our Snowconvert utility, based on project experiences. This ensures that our tooling is continuously improved based on our implementation experience. This role will report to the Director of specialized Workload Solutions team within the PSandT organization at Snowflake.

KEY RESPONSIBILITIES :

• Be well-versed in migrations of applications, code, and data onto cloud platforms - and how to lead design of the subsequent services onto Snowflake, including lakehouse architectures using Iceberg.
• Have the ability to outline the architecture of Spark, Scala, and Cloudera environments.
• Guide customers on architecting and building data engineering pipelines on Snowflake, including streaming data ingestion and processing.
• Design and implement data ingestion and transformation pipelines using Apache NiFi. Architect and implement Iceberg based lakehouse solutions on Snowflake.
• Run workshops and design sessions with stakeholders and customers.
• Troubleshoot migration and implementation issues.
• Create repeatable processes and documentation as a result of customer engagement. Scripting using Python and shell scripts for ETL workflow.
• Develop best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own.
• Provide guidance on how to resolve customer-specific technical challenges.
• Outline a testing strategy and plan.
• Optimize Snowflake for performance and cost.
• Design and implement solutions for streaming data ingestion and processing.

Product Strategy

Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.