Solutions Architect
Snowflake
Build the future of data. Join the Snowflake team.
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.
WHO WE ARE:
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.
WHAT WE DO:
We are the Professional Services team of Snowflake, which means we help our customers by providing expert advisory services and by helping them build enterprise-ready solutions that shape their businesses.
A customer journey might start with a migration project where we can help plan and execute the migration of their workloads to Snowflake. Or it might begin with a greenfield project , where we simultaneously explain the best practices for working with Snowflake and translate them to our customers' specific use cases.
We also support our customers in more continuous engagements. In these cases we stay with them for a year or longer, in order to guide them from the initial setup of the platform all the way to scaling their ability to onboard hundreds of use cases and solve complex data management and governance challenges.
We strive to be our customers' trusted technology advisors and help them maximise the value from their Snowflake investment.
WHAT ARE WE LOOKING FOR:
People who have a strong track record in building best in class cloud data platforms and strong consulting skills.
Our Architects are required to have working experience in
- Distributed systems and massively parallel processing technologies and concepts such as Snowflake, Teradata, Databricks, Hadoop, Spark, 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, SQL window functions, 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 (Developer to CxO).
A strong industry experience in the Financial services, Retail, or the Healthcare & Life Sciences will be an advantage.
WHAT WE ARE OFFERING:
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 were Ranked #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.
We are looking forward to speaking with you!