Snowflake에서 Technical Architect로서 고객의 데이터 플랫폼 마이그레이션과 구축을 주도할 전문가를 찾습니다. 12년 이상의 경력과 클라우드 데이터 플랫폼 및 분산 시스템에 대한 깊은 이해가 필수입니다. 고객의 기술적 파트너로서 데이터 전략을 수립하고 복잡한 엔터프라이즈 솔루션을 설계하는 핵심 역할을 수행하게 됩니다.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
For our Amsterdam office, we are looking for technology thought leaders who have a strong background in building data platforms and love to use their skills to generate value by supercharging data teams. Our team helps customers on their data journey with Snowflake, which is the central data platform for companies big and small. That means you will work on some of the most challenging data projects in the world, in a post-sales capacity.
The Snowflake AI Data Cloud’s mission is to mobilize the world's data, so that businesses can be truly data-driven. We believe in the importance of making our platform easy to use, which allows us to power companies at all stages of the data maturity journey.
In our YouTube channel you can find examples of how we have helped companies in a wide range of industries.
We are the Service Delivery (SD) team of Snowflake, which means we provide expert advisory services to our customers and help them build enterprise solutions that shape their businesses.
A customer journey might start with a migration project where we plan the when and how to migrate their workloads to Snowflake and execute the plan. Or it might begin with a greenfield project, where we simultaneously teach and demonstrate the best practices for working with Snowflake and translate them to our customers' specific use cases.
We also support our customers in long-term continuous engagements, where we guide them from the initial setup of the platform all the way to the onboarding and the deployment of hundreds of their use cases. We thrive on solving complex data management and governance challenges.
We strive to be our customers' trusted technology advisors and aim to maximise the value from their Snowflake investment.
Engage with several Snowflake customers
Lead technical streams of client data platform implementations and on-boarding efforts
Work with the other Customer Engagement and Delivery matrix resources to ensure proper technical guidance, project management and functional support
Collaborate as needed with different Snowflake organizations: Engineering, Support, Sales and Marketing
Help clients troubleshoot their implementations and integrate the product within their ecosystem
Identify, document, triage and track issues to ensure resolution
Actively contribute to the growth and scalability of the Customer Delivery and Training and Education teams through robust documentation, continuous process optimization, and capability cross-training
Apply industry/domain/technology expertise to client implementations
Gather intelligent product feedback and recommendations from customers to design and inform new features and capabilities
People who have a strong track record in building best in class cloud data platforms and strong consulting skills. This Technical Architect will be a Migrations specialist but with a broad technical background.
Our Architects are required to have 12+ years of experience in a customer facing technical role and a working experience in the following areas:
Distributed systems and massively parallel processing technologies and concepts such as Snowflake, Teradata, Spark, Databricks, Hadoop, Oracle, SQL Server, and performance optimisation
Data strategies and methodologies such as Data Mesh, Data Vault, Data Fabric, Data Governance, Data Management, Enterprise Architecture
Data organisation and modeling concepts and techniques such as Data Lake, Data Warehouse, Medallion architecture, Kimball dimensional modeling, and 3NF database normalisation
Infrastructure concepts such as the Cloud Hyperscalers (e.g. AWS and Azure) fundamentals of IaaS, PaaS, Networking, Security, Encryption, Identity and Access Management, and Disaster Recovery Planning
Data Engineering concepts and frameworks such as batch processing, stream processing, replication, SQL, DBT, Talend, Informatica, Python, Snowpark, PySpark, DataFrames, storage formats (e.g Parquet, Avro, Apache Iceberg, Delta Lake), Orchestration and DevOps
Business Intelligence and analytics solutions such as Tableau, PowerBI, MicroStrategy, Thoughtspot, SAS, Streamlit, and techniques such as time series analysis, Advanced SQL, and statistical analysis (e.g linear regression, variance analysis, modeling, and forecasting)
AI/ML fundamental understanding of key concepts such as classification, regression, clustering, dimensionality reduction, Natural Language Processing and Language Models
Our ideal candidate helps bring structure and clarity in complex and continuously evolving environments, and must have a strong ability in leading engagements with internal and external stakeholders at different levels of the organisation (Development teams to Leadership).
A strong industry experience in the Financial services, Retail, or the Healthcare & Life Sciences will be an advantage.
We have a flexible remote work policy. Presence in the office once a week is expected as well as occasional travels across EMEA to support customer projects or marketing events.
We help each other to stay on top of the game and up-to-date with the latest features in the Snowflake AI Data Cloud. Snowflake had the biggest software IPO of all times and we continue to grow at a rapid pace, which means there is ample opportunity to change the future of data analytics by joining us. Not only will you work with Snowflake’s latest and greatest capabilities, but also the cutting edge technologies of our partners.
Our compensation package offers a very competitive salary, plus equity on top. We believe in the importance of work life balance for our employees, which is why our annual vacation is at the top of the market. (Ask us more about SnowBreaks days during the interviews)
For young families we are offering very attractive parental leave and support with adoption, surrogacy, pregnancy or infant care related topics. Private medical and insurance plans are part of our benefits, in markets where this is a customary employment benefit. Furthermore, we provide strong private pension plans and other benefits, tailored to your country of employment.
Finally, we operate in a fast-paced technology landscape, where we Rank #1 in 2023 Fortune Future 50 List. If you believe you are an Innovation Enthusiast with the ability to think critically and strategically, Snowflake is absolutely the place to be.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
