Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Head of AI/ML Professional Services | Principal Solutions Architect
With 20+ years of expertise spanning the data evolution — from RDBMS and BI to modern AI/ML — I specialize in bridging the gap between complex data stacks and tangible business value. Currently at Snowflake, after being promoted from Principal Solutions Architect to Consulting Manager and later Lead Consulting Manager, I now serve as a Team Lead; here, I have successfully built and mentored a high-impact team of 16+ AI/ML experts from the ground up. My mission is to evolve the 'classic' data warehouse into a predictive powerhouse. I lead the design and deployment of end-to-end AI/ML projects, ranging from standard ML pipelines to cutting-edge LLM and RAG architectures. I remain deeply 'hands-on,' ensuring that every solution—whether it’s a mass-scale data-crunching engine or an interactive GenAI app—is sustainable, efficient, and rooted in data quality. Core Tech: Snowflake (Cortex, Snowpark), LLMs, RAG, Python, SQL, Data Warehousing. Strategic: Team Scaling, GTM Strategy for AI Services, Global Rollout of AI/ML Innovation.
Ludwig-Maximilians-Universität München
Diplom, Informatik
N/A – Present
Snowflake
Lead Consulting Manager, AI/ML
August 1, 2025 – Present
Snowflake
Consulting Manager, AI/ML
April 1, 2024 – July 1, 2025
Snowflake
Consulting Manager
June 1, 2022 – March 1, 2024
Snowflake
Consulting Manager
February 1, 2021 – June 1, 2022
Snowflake
Principal Solutions Architect
October 1, 2019 – January 1, 2021
Snowflake
Solution Architect
December 1, 2018 – October 1, 2019
emnos US Corp. - Part of the American Express Group
Lead Solution Architect BI / Big Data / Machine Learning
April 1, 2015 – November 1, 2018
emnos US Corp. - Part of the American Express Group
Lead Solution Architect BI / Data Warehouse / Big Data
January 1, 2008 – March 1, 2015
SHS VIVEON AG
Senior Data Warehouse Consultant
March 1, 2005 – December 1, 2007
Premiere AG
Data Warehouse Consultant
January 1, 2004 – January 1, 2005
Unterföhring
PEGAS systemhaus gmbh
IT Consultant
January 1, 2000 – January 1, 2004
Nothofer EDV-Beratung
Software Engineer
July 1, 1992 – July 1, 2000
SnowPro Advanced: Architect Certification
Snowflake
June 24, 2026 – Present
Artificial Intelligence
Stanford Online
June 24, 2026 – Present
XCS224N - Natural Language Processing with Deep Learning
Stanford Online
June 24, 2026 – Present
XCS234 - Reinforcement Learning
Stanford Online
June 24, 2026 – Present
Data Cloud Deployment Framework
Snowflake
June 24, 2026 – Present
XCS229 - Machine Learning
Stanford Online
June 24, 2026 – Present
SnowPro Advanced: Architect
Snowflake
June 24, 2026 – Present
SnowPro Core Certification
Snowflake
June 24, 2026 – Present
Certified Scrum Master
Scrum Alliance
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long tenure at Snowflake, progressing through various consulting and leadership roles, which suggests loyalty and adaptability within a large organization. Their experience leading diverse teams and working with clients across different regions (Europe, USA, Russia) indicates an ability to collaborate effectively in varied cultural contexts. The continuous pursuit of certifications in AI/ML demonstrates a strong learning mindset and a desire to stay current with industry trends, which is a positive indicator for cultural fit in an innovative environment. However, the resume lacks explicit details on contributions to open-source projects or community involvement, which could further strengthen cultural fit for roles emphasizing collaborative development.
Soft Skills & Operational Fit
The candidate's extensive experience in consulting and leadership roles at Snowflake and emnos US Corp. suggests strong client-facing skills, team leadership, and project management capabilities. The descriptions highlight guiding development teams and empowering customers, indicating good communication and problem-solving skills. The focus on optimizing ML Operations and driving innovation points to a proactive and results-oriented approach.