Lead Data/Cloud Architect

Sphere Energy is a dynamic and forward-thinking technology company, committed to developing AI-driven solutions that revolutionize product development processes, with a special focus on the automotive sector. We combine deep technical domain expertise in the battery and engineering market with state-of-the-art data science to solve the toughest challenges of our clients.

Tasks

We are looking for an experienced Data/Cloud Architect to join our team and help design, develop, and deploy robust software solutions. You will collaborate closely with a small team of developers to build integrated data analytics tools and pipelines that drive innovation. This role is a key opportunity to accelerate development processes for clients by creating user-friendly solutions that handle large-scale internal data.

Requirements

• A university degree, preferably in a STEM subject, combined with 5+ years of hands-on experience in a relevant role
• Proven expertise in designing scalable architectures across relational databases (PostgreSQL) and high-volume structured formats
• Deep experience creating efficient ETL pipelines, with a focus on code optimization
• Strong system-level debugging skills with the ability to trace data flow and performance bottlenecks across databases and cloud environments
• Proficiency in software engineering best practices (CI/CD, version control) and the ability to mentor teams on collaborative development
• Production experience with AWS services, specifically data engines like S3, Athena, Glue, and CodePipeline.
• Exposure to time-series data, IoT streams, or battery data is a big plus

Benefits

• The opportunity to drive digital innovation in the fast-growing battery sector
• High-impact, client-facing role with real responsibility and room for initiative
• A collaborative and dynamic work environment that values creativity and vision
• Opportunity to contribute to company strategy and growth
• Flexible working hours and hybrid work model
• Competitive salary incl. variable compensation

If you are excited to shape the future of battery technology and drive real change with leading industry players, please send us your resume and a short cover letter.
Join us to help power a more sustainable world!

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Position Details

• Job Title: Lead Data/Cloud Architect
• Company / Organisation: Sphere
• Location: Munich
• Employment Type: Full-time
• Field / Industry: Data Science & Analytics
• Work Arrangement: On-site or hybrid - Munich

About This Opportunity

This full-time opportunity at Sphere is an excellent opening for experienced professionals in the field of data science and analytics. The role is structured around an on-site or hybrid environment based in Munich and is designed for candidates who are ready to make a meaningful contribution from the moment they join.

Based in Munich, this role offers the opportunity to collaborate closely with a local team in a structured professional environment. Candidates currently based in the area or open to relocation are strongly encouraged to apply.

Whether you are an established practitioner in data science and analytics or a highly skilled professional looking for your next challenge, this Lead Data/Cloud Architect role offers the platform to apply your expertise in a real-world, results-oriented environment. Sphere is looking for a candidate who can hit the ground running and add genuine value to the team.

Who Should Apply

This role is ideal for candidates who have a solid background in data science and analytics and a demonstrable track record of delivering high-quality results. You should possess quantitative reasoning, statistical thinking, and the ability to transform raw data into actionable insights. Experience working with data analysis frameworks, visualisation platforms, and advanced statistical or machine learning tools will be an advantage, though a commitment to continuous learning and professional development is equally valued.

Beyond technical or domain expertise, Sphere is looking for someone who communicates clearly, collaborates effectively with colleagues and stakeholders, and takes ownership of their work from start to finish. If you thrive in a professional environment and are passionate about the opportunity to turn complex datasets into strategic insights that drive smarter business decisions, we encourage you to apply.

Key Competencies for This Role

Successful candidates for the Lead Data/Cloud Architect position at Sphere will typically demonstrate the following core competencies:

• Domain expertise - a strong foundation of knowledge and hands-on experience in data science and analytics
• Problem-solving ability - the capacity to identify challenges, think critically, and implement practical solutions efficiently
• Communication skills - clear and professional communication with colleagues, stakeholders, and partners at all levels
• Self-management - strong time management and the ability to prioritise a varied workload while meeting deadlines
• Team collaboration - a collaborative and supportive approach to working alongside colleagues across departments or locations
• Adaptability - the ability to respond positively to change and thrive in a dynamic, evolving work environment

How to Apply

To apply for this Lead Data/Cloud Architect position at Sphere, click the "Apply Now" button on this page. You will be taken directly to the official application page where you can complete and submit your application.

Before applying, please ensure that your CV or résumé is fully up to date and clearly highlights your experience and accomplishments in data science and analytics. If a cover letter is included or requested, tailor it specifically to this role and explain how your background, skills, and goals align with what Sphere is looking for in a Lead Data/Cloud Architect.

All applications for this role are processed directly by Sphere. Career Nest facilitates the job discovery process and does not pre-screen or forward applications on behalf of employers. There are no fees for job seekers at any stage of the application process.

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