Data Architect

Job description

**About Bosta:** Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience together to provide a one-stop shop for delivery solutions. We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system. **About the role:** We are looking for an experienced Data Engineering Lead to lead a team of data engineers and own the design, development, and scalability of our data platform. This role combines hands-on technical leadership, data architecture ownership, and people management, with a strong focus on building reliable, scalable, and business-aligned data solutions. The ideal candidate has 6+ years of experience in data engineering, has worked in fast-paced startup environments, and is comfortable driving data modeling and architecture decisions while mentoring and guiding a small team. Job Code: 2026DATA-065 ### Job Qualifications: - **Technical Leadership & Architecture** - Own and define the data architecture across data warehouses, data marts, and analytical - layers. - Lead data modeling initiatives (fact/dimension modeling, analytical schemas) to support reporting, analytics, and advanced use cases. - Design scalable, reliable, and cost-efficient ETL/ELT pipelines. - Ensure data platforms are built with performance, scalability, and maintainability in mind. - Define and enforce best practices for data engineering, including naming conventions, - documentation, testing, and monitoring. - **Team Leadership & Management** - Lead, mentor, and support a team of data engineers, ensuring technical growth and delivery quality. - Conduct code reviews, architecture reviews, and technical guidance sessions. - Foster a culture of ownership, accountability, and continuous improvement. - Project Ownership & Delivery - Own data engineering projects end-to-end, from requirements gathering to deployment and post-release support. - Partner closely with Analytics, Product, Operations, and Business teams to translate requirements into scalable technical solutions. - Manage priorities, timelines, and dependencies across multiple initiatives. - Ensure data solutions align with business needs and long-term strategy. - **Data Quality, Reliability & Governance** - Implement monitoring, alerting, and validation to ensure data accuracy and pipeline stability. - Define data governance standards around data quality, access, and documentation. - Proactively identify and mitigate risks related to data growth, performance, and system limitations. ### Job Qualifications: - 6+ years of experience in data engineering or related roles. - Proven experience designing and maintaining data architectures and data warehouses. - Strong expertise in SQL and data modeling techniques (star schema, snowflake, - dimensional modeling). - Hands-on experience building ETL/ELT pipelines using modern data tools. - Experience with cloud-based data platforms (e.g., AWS, GCP, Azure). - Experience working with large-scale, high-volume data environments. - Prior experience working in a startup or fast-growing environment. - Strong problem-solving skills and ability to work in ambiguous, evolving environments.