Engineering Manager

🚀 Data Engineering Manager II: Real-Time Data & Experimentation Platform (Remote, India)About TamaraTamara is Saudi Arabia's first fintech unicorn 🦄 and the leading financial super-app in the GCC, with a mission to empower dreams through customer-centric financial solutions. We partner with giants like SHEIN, IKEA, Amazon, and Jarir, serving millions of users across the region. Backed by Sanabil Investments (a wholly owned company by PIF), SNB Capital, and Checkout.com, you'll be joining a high-growth company operating at the forefront of Middle Eastern fintech innovation.About The Role: Building Our Next-Gen Data CoreThis is a critical 0-to-1 initiative—a technically hands-on leadership role to own, lead, and execute the development of our next-generation, high-scale data platform.You will lead a team of talented Data Engineers in building an event streaming ecosystem (primarily Kafka) designed to handle billions of events daily. This platform will be the core engine for real-time decisioning, advanced experimentation (A/B testing), and operational analytics across our multi-cloud environment. The success of this role is dependent on delivering a system that is robust, performant, and resilient to failure under immense scale.What You'll DoAs the Data Engineering Manager II, you will be responsible for the end-to-end vision and execution of the Real-Time Data & Experimentation Platform. Your core focus areas include:Technical Strategy & Architecture: Define the technical vision and multi-cloud reference architecture for the Events Streaming and Experimentation platforms. Lead the design for petabyte-scale data flows, ensuring strict HA/DR, security, and data residency compliance within the fintech landscape.People Leadership & Mentorship: Manage, mentor, and coach a growing team of 5-10 high-performing Data Engineers. Drive high-bar hiring to recruit top-tier talent in distributed systems and stream processing.Operational Excellence & Scale: Own the platform roadmap from conception to launch. Establish robust observability standards (SLOs/SLAs) and implement best practices for cost-effective operation of our complex multi-cloud infrastructure.Cross-Functional Impact: Partner closely with Product Management and Infrastructure/SRE teams to translate critical business needs into highly scalable engineering solutions.Who You AreWe're looking for a leader ready to take on a massive scale challenge and build a mission-critical platform from the ground up.Minimum Requirements8-15 years of total experience, including 5+ years in Data Engineering and a minimum of 2+ years in direct management of data or platform engineering teams.Strong, demonstrable Kafka expertise: operational management of large-scale, mission-critical Kafka clusters, configuration tuning, and cross-cluster replication.Proven track record in designing, building, and operating highly available and fault-tolerant distributed systems capable of processing billions of events daily.Demonstrated ability to define clear, scalable architectures for real-time streaming pipelines.Preferred QualificationsPrior experience in Fintech or a highly regulated industry.Experience with advanced streaming technologies like Spark, Flink, or similar real-time processors.Familiarity with multi-cloud deployment strategies (at least two of AWS, GCP, or Azure).Experience building or integrating with Experimentation (A/B Testing) platforms