Engineering manager

2 days ago

Mangalore, India Tamara Full time

???? Data Engineering Manager II: Real-Time Data & Experimentation Platform (Remote, India) About Tamara Tamara 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 Core This 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 Do As 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 Are We're looking for a leader ready to take on a massive scale challenge and build a mission-critical platform from the ground up. Minimum Requirements 8-15 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 Qualifications Prior 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

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