Job DescriptionDesign and optimize scalable, cost-efficient end-to-end data architectures.Improve data delivery speed and engineering efficiency year over year.Build reusable frameworks, templates, and automation to reduce repetitive work.Develop and maintain reliable data pipelines, real-time systems, and analytics platforms.Deliver production-ready solutions under tight timelines without compromising quality.Resolve complex production issues independently and implement long-term fixes.Evaluate new tools, frameworks, and architectures with clear cost–benefit analysis.Proactively reduce technical debt and prevent recurring scalability issues.Make and communicate technical trade-offs (e.g., batch vs. streaming, build vs. buy).Apply advanced data or analytics concepts in production systems.Act as a technical authority through code reviews, design reviews, and best practices.Collaborate with stakeholders and translate technical decisions into business impact.QualificationsBachelor’s degree in Computer Science, Engineering, Data Science, or a related field.Minimum 4 years of experience in data engineering or related roles.Strong experience building and operating production-scale data systems.Hands-on experience with data pipelines, data warehouses/lakes, and cloud platforms.Solid understanding of batch and streaming data processing.Experience supporting analytics, machine learning, or AI data workflows.Strong problem-solving skills in complex production environments.Strong judgment in balancing speed, quality, cost, and scalability.Clear communication skills with both technical and non-technical stakeholders.