Cygnus Staffing Solutions
Snowflake SME with Cortex AI | Snowflake Architect | Senior Snowflake with Cortex AI exp | UK Costa Rica LATAM | Remote Role | Pharmaceutical domain

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Description:
We are seeking an experienced Snowflake SME with Cortex AI expertise to lead the design, implementation, and optimization of enterprise-scale data platforms on Snowflake. The ideal candidate will possess deep expertise in Snowflake architecture, cloud-native data engineering, AI/ML integration, and Snowflake Cortex AI capabilities. This role involves designing scalable data architectures, enabling AI-powered analytics, and collaborating with business stakeholders to build intelligent data products that drive business value.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field.
- 10+ years of experience in Data Engineering, Data Warehousing, or Cloud Data Platforms.
- 5+ years of hands-on Snowflake architecture experience, Cortex AI.
- Experience designing enterprise-scale cloud data platforms, semantic layer.
- Strong understanding of modern data architecture principles.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Preferred Qualifications:
- Experience with enterprise AI governance.
- Experience implementing Retrieval-Augmented Generation (RAG) solutions.
- Experience with vector databases and semantic search.
- Knowledge of prompt engineering and LLM evaluation.
- Experience building conversational AI applications.
- Familiarity with data mesh and data product architectures.
- Experience with Snowflake Native Applications.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred Certifications:
- SnowPro Advanced Architect
- SnowPro Core Certification
- SnowPro Advanced Data Engineer
- AWS Certified Solutions Architect
- Microsoft Azure Solutions Architect Expert
- Google Professional Cloud Architect
- Databricks Certified Data Engineer (preferred)
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location