• You design and own the architecture of our end-to-end data platform — from data integration and transformation to data delivery • You lead the development of robust data pipelines using Fivetran, Airbyte and Python, setting technical standards for the team • You drive outstanding data modeling in Databricks and apply advanced SQL, dbt and data-quality frameworks such as elementary • You define and establish standards for data quality and ensure reliable data marts that serve as the basis for business-critical decisions • You provide technical leadership and work closely with the Product Owner and the Business Insights team on complex data challenges • You are responsible for the ongoing development of our cloud infrastructure on AWS and advance Infrastructure as Code (IaC) using Terraform

• You design and own the architecture of our end-to-end data platform, including ingestion, transformation, and serving layers • You lead the development of robust data pipelines using Fivetran, Airbyte, and Python – setting engineering standards for the team • You drive data modeling excellence in Databricks using advanced SQL, dbt, and data quality frameworks like elementary • You define and enforce data quality standards, ensuring reliable data marts that power business-critical decisions • You act as technical lead, collaborating closely with the Product Owner and Business Insights team on complex data challenges • You own and evolve our cloud infrastructure on AWS, driving infrastructure-as-code with Terraform (IaC)

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements • Mapping decisions with requirements and be able to translate the same to developers • Identifying different solutions and being able to narrow down the best option that meets the client’s requirements • Defining guidelines and benchmarks for NFR considerations during project implementation • Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers • Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed • Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it • Understanding and relating technology integration scenarios and applying these learnings in projects • Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken • Carrying out POCs to make sure that suggested design/technologies meet the requirements.

• Design, build, and optimize scalable data engineering solutions, including streaming data services, data pipelines, data platforms, and operational data systems. • Serve as a hands-on technical leader, actively developing and implementing data engineering solutions rather than functioning solely as an architect. • Define and drive data engineering standards, patterns, best practices, and reusable frameworks. • Architect and implement highly complex, scalable data platforms and advanced data engineering solutions. • Lead complex, high-impact, cross-functional data initiatives across the organization. • Build and support streaming and data services for enterprise use, with experience beyond consuming or using existing platforms. • Establish and enforce data governance, security, data quality, and data management standards. • Ensure enterprise data platforms are reliable, well-modeled, accessible, secure, and optimized for broad consumption. • Drive innovation and modernization initiatives across data platforms, engineering practices, and cloud-based data services. • Partner with senior leadership, architects, product teams, and engineering teams on long-term data strategy and roadmap planning. • Mentor senior engineers and technical leaders across the organization. • Evaluate and adopt emerging technologies to advance enterprise data capabilities. • Ensure scalability, performance, resilience, and long-term sustainability of data platforms. • Champion continuous improvement and elevate engineering practices across teams. • Complete other duties as assigned.