Principal Data Engineer

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. We are seeking a Principal Data Engineer with over 10 years of experience. In this high-impact role, you will be responsible for defining and driving the data architecture strategy, guiding technical teams, and ensuring robust, scalable, and secure database systems that support business-critical applications. You will work autonomously and directly with stakeholders across engineering, infrastructure, and product leadership, influencing decisions related to GCP Cloud SQL, GKE, relational and non-relational databases (including Cassandra and Couchbase), while also managing complex database challenges. Key Responsibilities: - Define and lead the overall data architecture strategy across cloud and hybrid environments, in alignment with business and technical goals. - Collaborate directly with leadership to drive key architectural decisions. - Provide deep, hands-on expertise in GCP Cloud SQL and containerized database deployment using Google Kubernetes Engine (GKE). - Architect and optimize relational database solutions using PostgreSQL, MySQL, and MS SQL Server. - Design and implement NoSQL data solutions including Cassandra, Couchbase, and other scalable data stores. - Lead end-to-end planning and execution of complex data engineering tasks, including schema design, performance tuning, high availability, and disaster recovery. - Handle and coordinate P1 incident responses, conducting root cause analysis and designing long-term mitigation plans. - Guide and mentor internal database teams, fostering technical quality and architectural consistency. - Automate database provisioning, scaling, and maintenance using modern DevOps and infrastructure-as-code tools. - Provide architectural documentation and recommendations for scalability, security, compliance, and cost efficiency. Skills: - 10+ years of experience in data engineering and architecture, including hands-on cloud and database infrastructure leadership. - Proven expertise in Google Cloud Platform (GCP) especially Cloud SQL and GKE. - Strong hands-on background in relational databases: PostgreSQL, MySQL, MS SQL Server - Deep knowledge and implementation experience with NoSQL technologies: Cassandra, Couchbase, [optionally MongoDB, Redis, etc.] - Experience in independent or consulting roles, capable of working with minimal supervision and maximum ownership. - Proven ability to manage and resolve high-severity incidents and communicate resolution paths to leadership. - Strong scripting and automation skills (e.g., Python, Terraform, Bash). - Familiarity with CI/CD, container orchestration, and observability practices for modern data infrastructure. - Background in supporting data compliance, governance, and cost optimization in cloud environments. Why Join Us: - Work with a team that values deep security thinking over checkbox compliance. - Experiment with tools, techniques, and platforms to continuously simulate, validate, and improve. - Collaborate across teams that respect security as a partner, not a blocker. - Build scalable security strategies in a growing, tech-driven organization. Experience: - 10+ Years,