jamir sayyad — CTO

With over 17+ years of experience in IT consulting, I specialize as a Data Engineering Leader and Principal Data Architect, helping organizations build and scale enterprise-grade data platforms that drive measurable business outcomes. Throughout my career, I have partnered with senior leadership, cross-functional teams, and global clients to design, deliver, and optimize data solutions across multiple industries including financial services, insurance, and retail for the UK, US, and European markets. 🔹 Architectural Expertise & Solution Delivery - I bring more than 6 years of experience as a Principal Data Architect/Data Architect delivering complex data integration and modernization programs for Big 4 consulting firms and large financial clients. My work spans end-to-end design and implementation of Data Lakehouse, Data Mesh, Batch, Streaming, and Lambda architectures, ensuring scalability, compliance, and smooth deployment into production environments. 🔹 Leadership & Community Building Beyond delivery, I am passionate about building strong data engineering communities. I currently serve as the community leader for 120+ data engineers, guiding their career development, mentoring emerging leaders, and driving initiatives in professional certifications, knowledge sharing, blogs, and technical talks. I had the privilege of establishing this community from the ground up—leading hiring, onboarding, and staffing to attract top talent and build organizational capability. 🔹 Stakeholder Management & Global Engagement With 9+ years of stakeholder management experience, I have successfully collaborated with delivery directors, client portfolio leads, and engineering leadership, balancing technical depth with business strategy. I also have 4–5 years of on-site coordination experience in Spain (Europe), bridging communication between clients and offshore teams of up to 50 members to ensure seamless execution. 🔹 Ways of Working & Best Practices I am deeply aligned with Agile methodologies, consistently applying practices such as backlog grooming, sprint planning, daily stand-ups, retrospectives, and demos to drive efficiency. I also define and enforce coding standards, best practices, and process documentation, ensuring engineering excellence and consistency across teams. At the core, I see myself not only as a technologist but as a strategic technical partner to clients and teams—someone who blends architecture, leadership, and innovation to deliver sustainable data solutions.

Stackforce AI infers this person is a Data Engineering Leader in the Fintech and SaaS sectors.

Location: Pune, Maharashtra, India

Experience: 17 yrs 8 mos