Senior Solution Engineer

This is a fully remote position, open to applicants in North Carolina, +1 more state.

📋 Description

• Articulate Snowflake's Data Cloud vision to leaders in data engineering, analytics teams, data scientists, and executive stakeholders.

• Conduct hands-on technical assessments of customers' data architectures, pipelines, warehouses, lakehouses, and governance deficiencies.

• Create Snowflake-native strategies for customers moving forward.

• Develop and present customized demonstrations and proof of concepts across Snowflake's data platform.

• Assist customers in navigating Data Mesh, Data Lakehouse, real-time streaming, and unified governance architectures.

• Convert business challenges into actionable Snowflake data solutions.

• Collaborate with sales teams and channel partners to successfully navigate sales cycles.

• Facilitate enterprise Proofs of Concept and showcase tangible business outcomes.

• Collaborate with Product Management, Engineering, and Field teams to contribute to the product roadmap.

⛳️ Requirements

• 3–8 years of professional experience in a pre-sales or solutions architecture role specializing in data platforms.

• Extensive hands-on knowledge of SQL, Python, and cloud-based data warehouse/lakehouse architectures.

• Wide-ranging experience with ETL/ELT tools such as dbt, Fivetran, Informatica, and Spark.

• Familiarity with streaming platforms like Kafka and Kinesis.

• Proficiency with orchestration tools, including Airflow and dbt Cloud.

• Experience using BI tools such as Tableau, Looker, and Power BI.

• Knowledge of AWS, Azure, and GCP.

• Proven capability to conduct in-depth data architecture assessments and relate findings to Snowflake's reference architecture.

• Experience in promoting AI/ML functionalities, including feature stores, model training pipelines, LLM-powered applications, and AI governance.

• Strong comprehension of data governance, quality, and compliance issues, including GDPR, CCPA, and PCI.

• Ability to assess the business value of modern data architecture.

• Documented history of using AI code generation tools.

• Bachelor's degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience.

• Experience with GSIs is advantageous but not essential.

🏝️ Benefits

• Variable compensation.

• Equity plan.

• 401(k) retirement plan.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Life insurance.

• Disability insurance.

• Flexible paid time off.

• At least 12 paid holidays.

• Parental leave.

• Employee assistance program.

• Flexible spending account.

• Health savings account.

• Budget for professional development.

• Additional company benefits.