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- Tasks: Lead the design and architecture of Snowflake's Cloud Data Platform for enterprise solutions.
- Company: Join Snowflake, a fast-growing tech company focused on innovation and collaboration.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a real impact by empowering enterprises with cutting-edge data solutions.
- Qualifications: 10+ years in data architecture and 5+ years in pre-sales roles required.
- Other info: Dynamic work environment with a focus on career advancement and innovation.
The predicted salary is between 54000 - 84000 £ per year.
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Our Solution Engineering organization is seeking a Senior Data Platform Architect (Specialist) to join our Applied Field Engineering team who can provide technical leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will leverage your expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.
On Day One, We Will Expect You To Have:
- 10+ years of architecture and data engineering experience within the Enterprise Data space
- 5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…)
- Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Ability to connect a customer’s specific business problems and Snowflake’s solutions
- Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
- Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
- Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies
- Deep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica.
- Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC)
- Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet
- Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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?
Senior Data Platform Architect employer: Snowflake
Contact Detail:
Snowflake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Snowflake or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data platforms and architecture. When you get the chance to chat with hiring managers, share these examples to demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with presenting your ideas and solutions. Whether it’s a mock interview or a casual meet-up, being able to articulate your thoughts clearly will set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Snowflake team.
We think you need these skills to ace Senior Data Platform Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Platform Architect role. Highlight your architecture and data engineering experience, especially in pre-sales environments, to show us you’re the right fit.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about Snowflake and how your background aligns with our mission. Don’t forget to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills: We want to see your technical prowess! Include relevant technologies you’ve worked with, like SQL, Python, and any big data tools. If you have experience with data lakehouse architectures, make sure to highlight that too!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining the Snowflake team!
How to prepare for a job interview at Snowflake
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, Python, and big data tools. Brush up on your knowledge of data architectures and be ready to discuss how they apply to real-world scenarios.
✨Understand the Business Context
It’s not just about the tech; you need to connect Snowflake’s solutions to customer business problems. Prepare examples of how you’ve done this in the past, and think about how you can demonstrate this during the interview.
✨Practice Your Presentation Skills
Since outstanding presentation skills are a must, rehearse your ability to explain complex concepts clearly and concisely. Use a whiteboard or create a demo to showcase your ideas, as you might need to present on the spot.
✨Prepare for Impromptu Questions
Expect the unexpected! Be ready to handle questions that may come up during your presentation or discussion. Think about potential challenges or objections a customer might have and how you would address them.
