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- Tasks: Design and optimise data solutions on our cloud platform using Snowflake.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of data technology and make a real impact.
- Qualifications: Strong SQL and Python skills, with experience in ETL/ELT tools.
- Other info: Collaborative environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Snowflake Senior Developer to design, develop, and optimise data solutions on our cloud data platform. You will work closely with data engineers, analysts, and architects to deliver high-quality, scalable data pipelines and models. Strong expertise in Snowflake, ETL/ELT, data modelling, and data warehousing is essential.
Responsibilities
- Snowflake Development: Build and optimise Snowflake objects (databases, schemas, tables, views, tasks, streams, resource monitors).
- ETL/ELT Pipelines: Develop and maintain robust data pipelines using tools like dbt, Airflow, Azure Data Factory, or similar.
- Data Modelling: Implement dimensional models (star/snowflake schemas), handle SCDs, and design efficient structures for analytics.
- Performance Tuning: Optimise queries, manage clustering, caching, and warehouse sizing for cost and speed.
- Data Quality: Implement testing frameworks (dbt tests, Great Expectations) and ensure data accuracy and freshness.
- Security & Governance: Apply RBAC, masking policies, and comply with data governance standards.
- Collaboration: Work with BI teams to ensure semantic alignment and support self-service analytics.
- Documentation: Maintain clear technical documentation for pipelines, models, and processes.
Qualifications
- Matric or GCSE (General Certificate of Secondary Education) and a Degree in IT.
- Strong SQL skills (complex queries, performance tuning) and proficiency in Python for data processing.
- Experience with ETL/ELT tools (dbt, Airflow, ADF, Informatica, Matillion).
- Solid understanding of data warehousing concepts (Kimball, Data Vault, normalization).
- Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable).
- Knowledge of data governance, security, and compliance (GDPR).
- Excellent problem-solving and communication skills.
Skills
- Experience with Snowpark, UDFs, dynamic tables, and external tables.
- Exposure to streaming/CDC (Kafka, Fivetran, Debezium).
- BI tool integration (Power BI, Tableau, Looker).
- Certifications: SnowPro Core or Advanced.
Snowflake Tech Lead employer: NTT DATA
Contact Detail:
NTT DATA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Tech Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data space, especially those who work with Snowflake or similar tools. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Snowflake projects, ETL pipelines, and any cool data models you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common Snowflake scenarios and performance tuning techniques. Practise explaining your thought process clearly, as communication is key when collaborating with teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Plus, it makes tracking your application super easy for both you and us.
We think you need these skills to ace Snowflake Tech Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Snowflake expertise and relevant experience. We want to see how your skills align with the role, so don’t be shy about showcasing your best projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data solutions and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your SQL and Python prowess, along with any ETL/ELT tools you’ve worked with. We’re looking for solid examples of your work, so feel free to include specific projects or achievements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at NTT DATA
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss how you've built and optimised Snowflake objects, and have examples of your work with ETL/ELT pipelines using tools like dbt or Airflow. This will show that you’re not just familiar with the platform but can also leverage it effectively.
✨Show Off Your Data Modelling Skills
Prepare to talk about your experience with data modelling, especially dimensional models like star and snowflake schemas. Have a couple of scenarios ready where you’ve implemented these models and how they improved data analytics for your previous projects.
✨Demonstrate Problem-Solving Prowess
Expect questions that test your problem-solving skills, particularly around performance tuning and data quality. Think of specific challenges you faced in past roles and how you tackled them, especially regarding query optimisation and ensuring data accuracy.
✨Communicate Clearly and Collaboratively
Since collaboration is key in this role, practice articulating how you’ve worked with BI teams and other stakeholders. Highlight your communication skills and how you ensure semantic alignment in projects, as this will be crucial for supporting self-service analytics.
