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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Lead (all genders) - **Company:** GotPhoto - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, DevOps, Python (Programming Language), Automation of Marketing, Cloud Services, SQL Databases, Data Streaming, Cloud Platform System, Large Language Models, Snowflake, Event Driven Architecture, Gitlab-ci, Kubernetes, Apache Kafka, Data Management, Video Streaming, Terraform, Data Pipelines, Legacy Systems - **Published:** June 4, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=75e4fdef813a251f ## About the Role Do you have experience in Terraform?, Do you have a Master's degree?, * Proven Data Engineering Foundation: 5+ years of experience in data engineering or technical leadership, with strong expertise in SQL, Python, ETL/ELT, data modeling, and scalable data architectures. * Modern Platform & Architecture Experience: Proven experience designing scalable data platforms and migrating legacy systems toward modular or event-driven architectures. * Cross-Functional Communication: Strong experience collaborating with cross-functional stakeholders to align technical architecture with business goals., * The Modern Data Stack: Hands-on expertise with Snowflake, dbt, Airflow, and Airbyte, plus experience with event-streaming technologies such as Kafka. * Advanced Coding & DevOps: Strong Python skills and experience with AWS, Terraform, Kubernetes, GitLab CI/CD, and cloud-native infrastructure. * Automation & AI Engineering: Experience or strong interest in analytics agents, LLM integrations, and workflow automation using tools such as OpenAI APIs, Anthropic APIs, n8n, LangChain, or LlamaIndex. * Data Governance & Reliability: Strong understanding of data quality, governance, observability, security, and reliable data products. Mindset * Extreme Ownership: You take ownership of infrastructure challenges, architectural decisions, and operational improvements proactively. * Pragmatic Innovator: You balance innovation with reliability, maintainability, and long-term platform health. * Developer Empathy & Mentorship: You enjoy mentoring teammates and communicating technical concepts clearly across teams. * Continuous Learning & Adaptability: You stay curious about modern data technologies, workflow automation, and emerging AI capabilities. ## Description * Modernize Pipelines & Event Streaming: Build, optimize, and manage highly resilient ETL/ELT pipelines using Snowflake, dbt, Airbyte, and Airflow. You will design modern ingestion and transformation architectures while enabling near-real-time event streaming capabilities through Kafka and similar technologies. * Automate Workflows & Operational Processes: Leverage orchestration and automation platforms such as n8n to connect systems, streamline business operations, eliminate repetitive manual work, and enable scalable workflow automation across teams. * Establish AI-Ready Data Foundations: Ensure all data products are discoverable, well-documented, governed, and trusted across the organization. You will establish strong data contracts, ownership models, observability standards, and governance practices so both humans and AI-powered systems can confidently work with data. * Leverage Cloud & DevOps Infrastructure: Deploy and manage cloud-native data infrastructure on AWS while working with Infrastructure-as-Code and containerized environments using Terraform, Kubernetes, and GitLab CI/CD pipelines. * Empower & Mentor a Skilled Team: Provide dedicated technical leadership and hands-on mentorship to two data engineers. You will establish engineering standards, scalable operational practices, testing structures, and a strong culture of collaboration and technical excellence. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) ## Related Articles - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)