About The Role

Join our team as a Data Platform Lead, where you will shape platform strategy and architecture, pioneer AI and analytics innovation, modernize data pipelines and event streaming, automate workflows and operational processes, establish AI-ready data foundations, leverage cloud and DevOps infrastructure, and empower and mentor a skilled team. Enjoy unlimited paid holiday and sick leave, development and learning opportunities, a subsidized fitness membership, remote work flexibility, and more.

Shape the platform strategy and architecture, pioneering innovation in Agentic AI and analytics.
Modernize data pipelines and event streaming, building and managing resilient ETL/ELT pipelines.
Establish AI-ready data foundations, ensuring data products are discoverable, well-documented, and governed.
Advanced Coding & DevOps: Strong Python skills and experience with AWS, Terraform, Kubernetes, GitLab CI/CD, and cloud-native infrastructure
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
Developer Empathy & Mentorship: You enjoy mentoring teammates and communicating technical concepts clearly across teams
Modern Platform & Architecture Experience: Proven experience designing scalable data platforms and migrating legacy systems toward modular or event-driven architectures
Continuous Learning & Adaptability: You stay curious about modern data technologies, workflow automation, and emerging AI capabilities
Pragmatic Innovator: You balance innovation with reliability, maintainability, and long-term platform health
Cross-Functional Communication: Strong experience collaborating with cross-functional stakeholders to align technical architecture with business goals
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
Extreme Ownership: You take ownership of infrastructure challenges, architectural decisions, and operational improvements proactively
The Modern Data Stack: Hands-on expertise with Snowflake, dbt, Airflow, and Airbyte, plus experience with event-streaming technologies such as Kafka
Data Governance & Reliability: Strong understanding of data quality, governance, observability, security, and reliable data products

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