Senior Software Engineer (Backend)

Join our team as a Senior Software Engineer, Data Platform. In this foundational role, you will design, develop, and optimize our data infrastructure, working closely with data scientists, analysts, and software engineers. You will contribute to the scaling of core data infrastructure, develop robust ETL/ELT workflows, implement Change Data Capture (CDC) pipelines, and define data governance standards. This position requires deep expertise in GCP, data engineering, and streaming technologies, as well as excellent communication and problem-solving skills.

• Contribuer à la conception, au développement et à l'optimisation de l'infrastructure de données de l'entreprise, en utilisant des technologies telles que GCP, Spark, Databricks et Fivetran.
• Développer des workflows ETL/ELT robustes et maintenables qui répondent aux besoins diversifiés en matière de données structurées et non structurées.
• Définir et appliquer des normes de gouvernance des données et de conformité, y compris le contrôle d'accès, l'auditabilité, la traçabilité et la gestion des métadonnées.
• If you are a highly motivated and experienced individual who is passionate about using technology to improve people’s lives, we would love to hear from you
• This role requires deep expertise in GCP, data engineering, Change Data Capture (CDC), ETL, governance, and streaming technologies
• Excellent communication and technical storytelling skills — you can align technical work with business value
• 5+ years of experience in software engineering, with a focus on scalable data architectures
• Proficiency in ETL/ELT tools and frameworks (dbt, Apache Airflow, Dataform, etc.)
• A balance of IC execution and leadership skills; you’re equally comfortable rolling up your sleeves or mentoring others
• Demonstrated success in collaborating across functions to deliver data solutions for analytics, experimentation, or compliance
• Deep understanding of data governance principles, including compliance and security best practices
• Familiarity with streaming data architecture, real-time ingestion, and delivery frameworks
• Strong expertise in GCP (IAM, GCS, Pub/Sub, etc.) and hands-on experience with Spark and Databricks
• Proficient in SQL and Python for data processing and automation
• Strong problem-solving skills with the ability to work in a fast-paced environment
• Hands-on experience with CDC technologies like Fivetran, or equivalent
• Entrepreneurial Spirit: Strong adaptability to changing business needs with a knack for building and optimizing processes. Your entrepreneurial mindset will be crucial in navigating the dynamic landscape of our industry, ensuring our platform remains competitive and responsive to user needs
• Familiarity with machine learning data pipelines
• Remote Work Adaptability: Comfort with remote work environments, demonstrating the ability to stay productive and connected with the team irrespective of physical location
• Bias Toward Action: Demonstrated ability to take initiative, make decisions under uncertainty, and move projects forward even in the face of ambiguity. We value individuals who are self-starters and ready to act on opportunities and challenges alike
• While the core competencies are essential, the following qualifications will distinguish exceptional candidates:
• Continuous Improvement: A willingness to question assumptions and a commitment to continuous improvement. Your openness to feedback and dedication to personal and professional growth will contribute significantly to our collective success
• Familiarity with the dbt Semantic Layer and modern data modeling best practices
• Exposure to multi-cloud or hybrid-cloud environments
• Experience building scalable solutions in a 0-1 environment
• Experience with Terraform or Infrastructure-as-Code (IaC) for data infrastructure automation
• Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders. Effective communication is vital for cross-functional collaboration and ensuring alignment across our organization
• Exposure to data observability platforms and practices
• Background in HIPAA or other regulated environments with sensitivity to data privacy and compliance