Solutions Architect
Full Time
Mid Level
5+ years
Posted 3 weeks ago
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This Solutions Architect role involves guiding customers through technical implementations of the Snowflake platform, providing expertise on data architectures and AI/ML workloads, and acting as a trusted advisor to executive leadership.
Responsibilities
- Engage directly with customers individually or as part of a technical delivery team
- Oversee and advise on the implementation of customer's Snowflake platform
- Demonstrate technical leadership through personally developed code, solution architectures, and implementation recommendations
- Provide customers with standard practices and advise as it relates to AI/ML workloads in Snowflake
- Act as a trusted advisor to customer executive leadership for thought leadership and solution approaches
- Extract business requirements from customers and translate them into well-architected recommendations
- Develop and provide forward-looking guidance and future state roadmaps
- Leverage known best practices and solutions to reduce risk to customer implementations
- Decompose future state goals into actionable execution plans
- Collaborate with Snowflake GTM and product teams to ensure customer alignment to Snowflake goals
- Coach and guide customers on how to best use Snowflake’s suite of AI Tools
Requirements
- Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer
- 3 years of technical consulting experience
- Experience in a lead role for analytics projects for large enterprises
- Experience implementing and operating Snowflake centric solutions
- Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
- Familiarity with AI/ML and Transformation technologies
- Familiarity with ML Ops standard practices
- Familiarity with industry common BI and ETL solutions
- Hands-on experience in a technical role leveraging SQL and Python (optionally Java or Spark) to build, operate and maintain data analytics solutions
- Extensive knowledge of and experience with large-scale database technology (e.g., Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
- Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
- Familiarity with prompt engineering techniques
Qualifications
- BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience
- Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer; 3 years of technical consulting experience
Nice to Have
- Hands-on experience or significant familiarity with building and managing AI/ML workloads
- Experience in the services organization of a product company
- Experience in a leadership position executing technical projects
- Industry vertical expertise (Media, Financial Services, Healthcare, etc)
- Application Development experience
- AWS, Google or Microsoft Cloud certification(s)
- Snowflake Snowpro Advanced Certification(s)
Skills
AI/ML
*
Python
*
SQL
*
AWS
*
Google Cloud
*
Java
*
Snowflake
*
ETL
*
BI
*
Spark
*
Prompt Engineering
*
Teradata
*
Microsoft Cloud
*
Netezza
*
Exadata
*
Greenplum
*
* Required skills
Benefits
Dental Insurance
Paid Time Off
Parental Leave
Employee Assistance Program
Vision Insurance
Paid Holidays
Medical Insurance
401(k) retirement plan
Equity plan
Life Insurance
Disability Insurance
Health Savings Account
Flexible Spending Account
About Snowflake
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.
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