{"id":27295,"url":"https://alion.io/job/bosta-data-architect","title":"Data Architect","company":{"id":7150,"name":"Bosta","domain":"bosta.co","url":"https://alion.io/company/bosta","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":78,"open_postings":34,"ghost_share":0,"stale_share":0.882,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":190000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":691},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-01-05T11:48:58Z","employer_posted_date":"2026-01-05","last_verified_at":"2026-10-17T06:05:35Z","board_verified":true,"closed_at":null,"days_open":284,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":284},"description":"About Bosta:\nLaunched 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.\nWe 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.\nAbout the role:\nWe 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.\nThe ideal candidate has 6+ years of experience in data engineering, has worked in fast-paced\nstartup environments, and is comfortable driving data modeling and architecture decisions\nwhile mentoring and guiding a small team.\nJob Code: 2026DATA-065\nJob Qualifications:\n Technical Leadership & Architecture\nOwn and define the data architecture across data warehouses, data marts, and analytical\nlayers.\nLead data modeling initiatives (fact/dimension modeling, analytical schemas) to support reporting, analytics, and advanced use cases.\nDesign scalable, reliable, and cost-efficient ETL/ELT pipelines.\nEnsure data platforms are built with performance, scalability, and maintainability in mind.\nDefine and enforce best practices for data engineering, including naming conventions,\ndocumentation, testing, and monitoring.\nTeam Leadership & Management\nLead, mentor, and support a team of data engineers, ensuring technical growth and delivery quality.\nConduct code reviews, architecture reviews, and technical guidance sessions.\nFoster a culture of ownership, accountability, and continuous improvement.\nProject Ownership & Delivery\nOwn data engineering projects end-to-end, from requirements gathering to deployment and post-release support.\nPartner closely with Analytics, Product, Operations, and Business teams to translate requirements into scalable technical solutions.\nManage priorities, timelines, and dependencies across multiple initiatives.\nEnsure data solutions align with business needs and long-term strategy.\n Data Quality, Reliability & Governance\nImplement monitoring, alerting, and validation to ensure data accuracy and pipeline stability.\nDefine data governance standards around data quality, access, and documentation.\nProactively identify and mitigate risks related to data growth, performance, and system limitations.\nJob Qualifications:\n6+ years of experience in data engineering or related roles.\nProven experience designing and maintaining data architectures and data warehouses.\nStrong expertise in SQL and data modeling techniques (star schema, snowflake,\ndimensional modeling).\nHands-on experience building ETL/ELT pipelines using modern data tools.\nExperience with cloud-based data platforms (e.g., AWS, GCP, Azure).\nExperience working with large-scale, high-volume data environments.\nPrior experience working in a startup or fast-growing environment.\nStrong problem-solving skills and ability to work in ambiguous, evolving 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