Data Engineer/Technical Co-Founder

This role of Data Engineer/Technical Co-Founder requires a strong foundation in data engineering principles combined with entrepreneurial and leadership capabilities. Candidates should possess expertise in designing, building, and maintaining scalable data pipelines and architectures that support business intelligence and analytics. Proficiency in programming languages commonly used in data engineering such as Python, SQL, and potentially Scala or Java is essential. Familiarity with big data technologies and frameworks like Apache Spark, Hadoop, Kafka, and cloud platforms (AWS, GCP, or Azure) is highly valuable. Experience with data warehousing solutions, ETL processes, and database management (both relational and NoSQL) is expected. As a technical co-founder, the candidate must demonstrate strong problem-solving skills, strategic thinking, and the ability to collaborate closely with cross-functional teams, including product and business stakeholders. Knowledge of data governance, security best practices, and performance optimization is important. The role may also require experience in DevOps practices, containerization (Docker, Kubernetes), and CI/CD pipelines to ensure robust deployment and monitoring of data systems. While specific experience and education levels are not detailed, the position implies a senior-level professional with a blend of technical depth and startup mindset, capable of driving the technical vision and execution from the ground up.