Data Platform Lead (all genders)
<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Your Role:</strong></p><p>Do you want to drive high-impact data initiatives alongside an international data team and play a key role in scaling a market-leading e-commerce workflow platform? If you thrive on a steep technical learning curve, possess a high level of ownership, and want to build modern, reusable data systems that empower human decision making, self-serve analytics, and AI agents, you are our perfect match!</p><p><br/></p><p><strong>What You Will Do</strong></p><ul><li><strong>Shape Platform Strategy & Architecture</strong></li><li><strong>Pioneer Agentic AI & Analytics Innovation</strong></li><li><strong>Modernize Pipelines & Event Streaming: </strong>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.</li><li><strong>Automate Workflows & Operational Processes: </strong>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.</li><li><strong>Establish AI-Ready Data Foundations: </strong>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.</li><li><strong>Leverage Cloud & DevOps Infrastructure: </strong>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.</li><li><strong>Empower & Mentor a Skilled Team: </strong>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.</li></ul><p><br/></p><p><strong>What You Bring</strong></p><p><br/></p><p>Experience</p><ul><li><strong>Proven Data Engineering Foundation: </strong>5+ years of experience in data engineering or technical leadership, with strong expertise in SQL, Python, ETL/ELT, data modeling, and scalable data architectures.</li><li><strong>Modern Platform & Architecture Experience: </strong>Proven experience designing scalable data platforms and migrating legacy systems toward modular or event-driven architectures.</li><li><strong>Cross-Functional Communication: </strong>Strong experience collaborating with cross-functional stakeholders to align technical architecture with business goals.</li></ul><p>Skills</p><ul><li><strong>The Modern Data Stack: </strong>Hands-on expertise with Snowflake, dbt, Airflow, and Airbyte, plus experience with event-streaming technologies such as Kafka.</li><li><strong>Advanced Coding & DevOps: </strong>Strong Python skills and experience with AWS, Terraform, Kubernetes, GitLab CI/CD, and cloud-native infrastructure.</li><li><strong>Automation & AI Engineering: </strong>Experience or strong interest in analytics agents, LLM integrations, and workflow automation using tools such as OpenAI APIs, Anthropic APIs, n8n, LangChain, or LlamaIndex.</li><li><strong>Data Governance & Reliability: </strong>Strong understanding of data quality, governance, observability, security, and reliable data products.</li></ul><p>Mindset</p><ul><li><strong>Extreme Ownership: </strong>You take ownership of infrastructure challenges, architectural decisions, and operational improvements proactively.</li><li><strong>Pragmatic Innovator: </strong>You balance innovation with reliability, maintainability, and long-term platform health.</li><li><strong>Developer Empathy & Mentorship: </strong>You enjoy mentoring teammates and communicating technical concepts clearly across teams.</li><li><strong>Continuous Learning & Adaptability: </strong>You stay curious about modern data technologies, workflow automation, and emerging AI capabilities.</li></ul><p><br/></p><p>What Matters to Us</p><p>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!</p><p><br/></p><p>We work as one team. Wherever you come from. However, you identify. We believe in equal opportunities.</p> </div>