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Data Platform Lead (m/f/d)

About GotPhoto/fotograf.de

Our mission is to digitalize the people photography industry.

GotPhoto.com | fotograf.de is dedicated to making photographers’ lives easier and more efficient. We provide an end-to-end workflow and e-commerce solution enabling photographers to digitalize key parts of their workflow - from photo management to payment, combined with a user-friendly platform. Making them more successful and spending more time behind the lens!

Since 2012, our journey has been filled with an entrepreneurial spirit, witnessing countless success stories that prove our sustainable business model works and is profitable.

We’re building a tight-knit ecosystem where everyone can thrive – including you! Join our team of 170+ talented individuals and be part of our journey to empower photographers like never before!

Your mission

GotPhoto is looking for an enthusiastic Data Platform Lead to join our Platform team in Berlin.

As our Data Platform Lead, you will shape the future of our data platform, ensuring it is scalable, maintainable, and secure. Leading a collaborative and supportive team, you will design and implement best-in-class data architecture, enabling high-quality insights that drive smart business decisions.

This is an exciting opportunity for a leader who enjoys mentoring, problem-solving, and driving meaningful change in a growing company.

You are reporting to our Head of Data Kinda.



Responsibilities

  • Shape & Develop – You design and implement a scalable, flexible data infrastructure that supports analytics, reporting, and operational needs.

  • Optimize & Automate – You build and enhance ETL/ELT processes using tools like dbt, Airbyte, and Airflow, ensuring efficiency and reliability.

  • Ensure Data Integrity – You establish and maintain data governance, data contracts, and quality standards, leveraging data observability and monitoring practices to proactively ensure the accuracy, consistency, and reliability of data pipelines.

  • Leverage Cloud Technologies – You deploy and manage cloud-based data solutions (AWS), orchestrate containerized workloads using Kubernetes, and automate infrastructure and CI/CD pipelines leveraging Terraform and GitLab CI/CD.

  • Lead & Empower – You guide and support your team of 2, fostering a collaborative and learning-focused culture.

We are looking for

  • Data Engineering Expert – You have at least 5+ years of experience with SQL, Python, ETL/ELT processes, and data modeling.

  • Cloud & Automation Proficiency – You have hands-on experience with AWS, Terraform, and modern data pipeline tools.

  • Scalable Architecture Mindset – You have a strong understanding of event-driven data architectures and infrastructure-as-code.

  • Strong Communicator & Collaborator – You are able to engage with stakeholders, explain complex topics clearly, and create alignment across teams.

  • Supportive Leader & Mentor – You are passionate about fostering an inclusive, empowering, and growth-oriented team culture.

The Perks

  • We work in a flexible hybrid model at GotPhoto, leveraging the best of both worlds, with our office at Hausvogteiplatz serving as our central hub for collaboration in Berlin

  • Education budget, that allows you to grow professionally and explore new ideas

  • Unlimited holidays (26 days is the minimum)

  • Workation in a different country for up to 2 months per year

  • Want to learn another language? You get access to Lingoda.

  • Flexible Employee Benefits through Probonio: Your monthly budget allows you to choose the benefit that best suits your needs, including popular options like the Urban Sports Club Membership.

A Final Word:

Research shows that candidates from underrepresented backgrounds may refrain from applying for positions if they feel they don't meet all qualifications. We strongly encourage you to apply if you’re interested: we're excited to discover how your distinctive experience can enhance our team!

We work as one team. Wherever you come from. However, you identify. We believe in equal opportunities.

We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make hiring decisions based on your experience, skills, and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Platform Lead (m/f/d), GotPhoto

GotPhoto is on the lookout for a passionate Data Platform Lead (m/f/d) to join our dynamic team in Berlin! At GotPhoto, we aim to revolutionize the people photography industry, making the lives of photographers easier with our end-to-end workflow and e-commerce solutions. As our Data Platform Lead, your expertise will directly impact the way we harness data to empower photographers, allowing them to spend more time behind the lens. You will play a crucial role in developing and maintaining a scalable and secure data platform, working closely with a talented team to implement industry-leading data architecture. Your responsibilities include optimizing ETL/ELT processes, ensuring data integrity, and leveraging the latest cloud technologies to enhance our data operations. We value collaboration and mentorship, and you'll have the chance to lead a small team while fostering a culture of growth and learning. If you have a solid background in data engineering with a minimum of 5 years of experience, a strong grasp of cloud solutions, and a passion for nurturing an inclusive team, we want to hear from you! Join us as we embark on this exciting journey at GotPhoto, where innovation and community spirit drive our success.

Frequently Asked Questions (FAQs) for Data Platform Lead (m/f/d) Role at GotPhoto
What are the responsibilities of a Data Platform Lead at GotPhoto?

As a Data Platform Lead at GotPhoto, you will be responsible for designing and implementing a scalable data infrastructure that supports analytics and operational needs. Your role will include optimizing ETL/ELT processes, establishing data governance practices, and using cloud technologies to manage data solutions effectively.

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What qualifications are required for the Data Platform Lead position at GotPhoto?

To qualify for the Data Platform Lead position at GotPhoto, you should have at least 5 years of experience with SQL, Python, and data modeling. Proficiency in cloud technologies like AWS and hands-on experience with automation tools like Terraform is also essential. Strong communication skills and leadership qualities are pluses.

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What technologies will a Data Platform Lead work with at GotPhoto?

In the Data Platform Lead role at GotPhoto, you'll work with various technologies including dbt, Airbyte, Airflow for data processes, AWS for cloud solutions, and Kubernetes for container orchestration, along with Terraform for infrastructure automation.

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How do you foster a collaborative culture as a Data Platform Lead at GotPhoto?

As a Data Platform Lead at GotPhoto, fostering a collaborative culture involves guiding your team, encouraging open communication, and promoting a growth-oriented environment. You'll support team members' development while creating alignment across departments to ensure everyone is on the same page.

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What is the team structure like for a Data Platform Lead at GotPhoto?

The team structure for the Data Platform Lead at GotPhoto includes leading a small team of two data professionals. You will report directly to the Head of Data, working in a collaborative environment that values both team input and individual contributions to achieve shared goals.

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Common Interview Questions for Data Platform Lead (m/f/d)
Can you describe your experience with ETL/ELT processes?

During the interview, articulate your specific experiences with ETL/ELT processes—mention tools you’ve used, the scale of data you’ve worked with, and how you ensure data integrity and optimization in your workflows.

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How do you ensure data quality and integrity?

To answer this question effectively, discuss techniques and tools you’ve implemented for data quality checks, governance practices, and your approach to monitoring data pipelines to quickly detect and address issues.

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What cloud technologies are you familiar with, and how have you used them?

When responding, mention specific cloud services, particularly AWS, and detail any projects where you deployed data solutions. Highlight your experience with automation and scaling cloud infrastructures.

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Describe a time you led a team through a challenging project.

Here, share a specific example that outlines the challenge, how you approached leadership during it, and the successful outcome. Focus on collaboration, conflict resolution, and mentoring of team members.

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How do you stay updated with the latest trends in data engineering?

Discuss the resources you use to keep your skills sharp such as online courses, industry conferences, webinars, and any professional networks you are part of that contribute to your continuous learning.

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What is your approach to automating data workflows?

Explain your strategy for identifying repetitive tasks and how you utilize tools and scripts to automate processes. Mention benefits like increased efficiency and error reduction in your workflows.

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Can you explain event-driven architectures further?

When tackling this question, describe what event-driven architecture means to you, how it compares to traditional architectures, and provide examples of when you successfully employed it in a past role.

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How do you handle stakeholder communication when working on data projects?

Illustrate your approach to maintaining clear, consistent communication with stakeholders. Emphasize your ability to translate complex data topics into actionable insights and keep everyone aligned.

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Talk about a data project that required complex problem solving.

Share an example that showcases your analytical skills. Discuss the problem, your thought process in addressing it, and how your solution improved the data infrastructure or quality at your company.

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Why do you believe a collaborative culture is important in data teams?

Convey your belief in the benefits of a collaborative culture—sharing ideas leads to innovation, and diverse perspectives can generate more comprehensive solutions to data challenges faced by the team.

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"GotPhoto offers a great solution for high-volume photographers like myself. It manages my workflow meaning I can concentrate on the artistic side of photography instead of the technical administrative duties. I'm a bit of a technophobe but GotPho...

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Full-time, hybrid
DATE POSTED
March 27, 2025

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