Data Engineering Lead Bosta

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.

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.