Senior Engineering Manager- Data Platform

About the Role We are looking for a Senior Manager- Data Platform to lead the engineering team responsible for ThoughtSpot’s data platform team, our flagship interactive analytics experience. The Data Platform team owns how ThoughtSpot connects to, manages, and queries data across Snowflake, BigQuery, Redshift, Databricks, and other external systems. In this role, you will define the technical roadmap, guide architecture, mentor engineers, and ensure delivery of a scalable, reliable, and high-performance platform used by thousands of enterprise customers. This is a hands-on leadership role: ~60% technical contribution (architecture, design reviews, prototyping, performance tuning) and ~40% people leadership (coaching, execution, quality, cross-functional collaboration).

Responsibilities Technical Leadership Provide architectural vision, strong technical direction, and hands-on guidance to engineering teams. Drive modernization of existing systems, including multi-tenant architecture, cloud-native deployments, containerization, and Kubernetes-based scaling. Foster best practices in microservices design, distributed systems, API development, and backend performance optimization. Lead high-impact initiatives across reliability, security, scalability, and observability.

Execution & Delivery Lead a team of engineers in delivering capabilities across multiple releases with predictable, high-quality execution. Break down ambiguous feature requirements into technical plans, milestones, and deliverable workstreams. Improve iteration velocity through better tooling, CI/CD, testing automation, and standardization. Work closely with SRE to ensure smooth releases, on-call quality, incident analysis, and reliability improvements.

People Leadership Mentor, coach, and grow engineers; support career development through feedback, performance discussions, and empowerment. Create a high-performing engineering culture anchored on ownership, accountability, and continuous improvement. Partner with cross-functional leaders (Product, Design, QA, SRE, Customer Success) to align priorities and remove execution blockers.

Required Qualifications 13+ years of software engineering experience, including 2–4 years in a technical leadership/management role. Strong expertise in

Java , distributed systems, microservices, cloud-native development, and container/Kubernetes orchestration. Deep experience building complex data/analytics products or consumer-grade interactive UIs. Ability to lead architecture discussions, make technical decisions, and balance short-term vs. long-term trade-offs. Proven track record of mentoring engineers, driving execution, and leading teams through technical complexity. Preferred Qualifications Experience with data platforms, analytics engines, query execution systems, or real-time connectors. Exposure to cloud security, identity (OAuth, SSO, IDP integrations), and tenant isolation models. Experience working with gRPC/Thrift APIs, high-performance threading models, or asynchronous queue-based systems. Familiarity with AI/ML-based productivity tooling or agentic workflows. Prior experience in high-growth SaaS or enterprise product companies.