Technical Architect

Posted 15 Days Ago
Be an Early Applicant
Hiring Remotely in FR
Remote
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Lead technical streams for customer Snowflake data platform implementations, provide advisory and troubleshooting, collaborate cross-functionally, document and optimize processes, and guide customers from migration to production while sharing product feedback.
Summary Generated by Built In

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 Swiss offices, 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 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.

WHAT A TECHNICAL ARCHITECT AT SNOWFLAKE DOES

  • 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 organisations: 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 and technology expertise to client implementations

  • Gather intelligent product feedback and recommendations from customers to design and inform new features and capabilities

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 Technical Architect are required to have 5+ years of experience in a customer facing technical role and a working experience in

  • 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. Occasional presence in the Zurich office is expected.

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 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.

We are looking forward to speaking with you!

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

Skills Required

  • 5+ years experience in a customer-facing technical role
  • Working experience with distributed systems and MPP technologies (Snowflake, Teradata, Spark, Databricks, Hadoop, Oracle, SQL Server) and performance optimization
  • Experience with data strategies and methodologies (Data Mesh, Data Vault, Data Fabric, Data Governance, Data Management, Enterprise Architecture)
  • Knowledge of data organization and modeling (Data Lake, Data Warehouse, Medallion architecture, Kimball dimensional modeling, 3NF)
  • Familiarity with cloud infrastructure concepts and hyperscalers (AWS, Azure), IaaS/PaaS, networking, security, encryption, IAM, disaster recovery
  • Data engineering concepts and frameworks (batch/stream processing, replication, SQL, DBT, Talend, Informatica, Python, Snowpark, PySpark, DataFrames, parquet/Avro/Iceberg/Delta Lake, orchestration, DevOps)
  • Experience with BI and analytics tools and techniques (Tableau, Power BI, MicroStrategy, ThoughtSpot, SAS, Streamlit, advanced SQL, time series and statistical analysis)
  • Fundamental understanding of AI/ML concepts (classification, regression, clustering, dimensionality reduction, NLP, language models)
  • Strong consulting skills and ability to lead engagements with stakeholders at multiple levels
  • Occasional presence in the Zurich office
  • Industry experience in Financial Services, Retail, or Healthcare & Life Sciences

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Equity Value & Accessibility Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
  • Fair & Transparent Compensation Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
  • Parental & Family Support Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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