At a Glance
- Tasks: Lead and mentor engineering teams while designing innovative cloud solutions and AI integrations.
- Company: Join a forward-thinking tech company focused on cutting-edge data engineering.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with hands-on technical challenges and excellent career advancement.
- Why this job: Make a real impact by shaping the future of AI and cloud technology.
- Qualifications: 10+ years in data engineering with strong skills in Snowflake and AWS.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- 10+ years in data engineering, data warehousing, analytics or similar roles
- Strong expertise in Snowflake architecture and AWS cloud services (incl API interfaces)
- Experience leading and mentoring engineering teams, particularly distributed or remote teams
- Strong proficiency in programming languages like Python
- Proven experience designing and implementing enterprise data warehouse solutions
- Proven expertise in building and optimizing ETL pipelines using tools like SQL, Python and dbt
- Experience with AI development tools and platforms (e.g., GPT APIs, Copilot) and AI agent frameworks
- Architect, designing and implementing robust and scalable CI/CD pipelines across diverse cloud (AWS, Azure) environments
- Familiarity with data governance, data quality frameworks, and access controls
- Strong communication skills for partner engagement and cross-functional collaboration
What the job involves
- Technical leadership: Guide and mentor the engineering team, making key technical decisions and providing a strategic framework and detailed technical guidance covering architectural patterns, tactical design patterns, best practices, and a clear implementation process
- Product development: Lead the technology assessment for new products/features, influencing design decisions to manage risks and develop mitigation plans
- Cloud Architecture: Design and build solutions on public cloud platforms like AWS or Azure, leveraging services for compute, storage, and networking
- Cross-functional collaboration: Work closely with product management, design, quality, and manufacturing teams to ensure a successful product launch and sustainment
- Lead AI integration: Work with leadership to implement the company's long-term AI strategy, identifying practical use cases for AI and translating product goals into actionable technical tasks. Lead the design, development, and deployment of AI‑enhanced software solutions and oversee the integration of AI capabilities into products and workflows
- Prototyping and testing: Develop and implement testing procedures, create product prototypes, and conduct performance testing to ensure requirements are met
- Problem-solving: Lead the resolution of technical issues and quality excursions that arise during the product development and production phases
This is a hands‑on role involving deep technical work in Cloud Data Engineering, Analytics and ML.
Software & Platform Engineering Lead employer: Deepstreamtech
As a leading employer in the tech industry, we offer an innovative work culture that fosters collaboration and creativity, particularly for our Software & Platform Engineering Lead role. Our commitment to employee growth is evident through mentorship opportunities and access to cutting-edge technologies, including AI development tools. Located in a vibrant tech hub, we provide a dynamic environment where your contributions directly impact product development and the future of our AI strategy.
StudySmarter Expert Advice🤫
We think this is how you could land Software & Platform Engineering Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Software & Platform Engineering Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake architecture, AWS, and AI development tools. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've mentored teams and tackled complex problems in data engineering and cloud architecture.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your experience with CI/CD pipelines and cross-functional collaboration.
We think you need these skills to ace Software & Platform Engineering Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in Snowflake architecture, AWS cloud services, and any relevant programming languages like Python. We want to see how you fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your experience aligns with our needs. Don’t forget to mention your leadership experience and how you’ve mentored teams in the past.
Showcase Your Projects:If you've worked on any relevant projects, especially those involving AI integration or cloud architecture, make sure to include them. We love seeing practical examples of your work that demonstrate your problem-solving skills and technical expertise.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in Snowflake architecture and AWS cloud services. Brush up on your knowledge of API interfaces, as you’ll likely be asked to discuss how these technologies can be leveraged in real-world scenarios.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading and mentoring engineering teams, especially remote ones. Think about specific challenges you faced and how you guided your team through them, as this will demonstrate your capability to lead effectively.
✨Demonstrate Problem-Solving Prowess
Be ready to discuss past technical issues you've resolved during product development. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your analytical skills and ability to think on your feet.
✨Engage with AI Integration Insights
Since AI is a key focus, prepare to talk about your experience with AI development tools and platforms. Bring examples of how you’ve integrated AI into products or workflows, and be ready to discuss potential use cases relevant to the company’s long-term strategy.
