Job Description
· We are seeking a highly skilled and hands-on Tech Lead – Data Engineer to drive the design, delivery, and operational excellence of a next-generation Air Traffic Management (ATM) platform.
· This cloud-native platform supports advanced data and analytics workloads.
· The Tech Lead will act as a critical bridge between solution architecture, project delivery, and engineering execution.
· In addition to leading a team of engineers, the role requires strong hands-on contribution in designing, coding, reviewing, and troubleshooting complex data solutions on AWS and Databricks, ensuring alignment with architectural standards, timelines, and business objectives.
Key Responsibilities
· Technical Leadership & Delivery Lead a team of data engineers and developers in designing and delivering end-to-end data pipelines (batch, streaming, and event-driven).
· Actively write, review, and optimize code using Python/Scala, Apache Spark, and SQL on Databricks and AWS platforms.
· Translate solution architecture and design blueprints into actionable engineering tasks and contribute directly to implementation.
· Troubleshoot and resolve complex production issues, ensuring system reliability, performance, and uptime.
· Ensure solutions meet stringent performance, security, governance, and compliance requirements within regulated aviation environments.
· Oversee code quality, CI/CD pipelines, observability, and DevOps best practices across the data platform.
· Collaboration & Stakeholder Management Partner closely with the Solution Architect to validate and refine designs, including building hands-on POCs and prototypes when required.
· Work with the Project Manager to align delivery milestones, manage dependencies, and proactively escalate risks.
· Collaborate with domain experts, data scientists, and external vendors to integrate analytics and AI / GenAI use cases into production systems. Effectively communicate and coordinate with offshore development teams (China) to ensure smooth delivery.
· Innovation & Continuous Improvement Introduce modern practices in data engineering, MLOps, automation, and cloud-native design to improve platform maturity.
· Proactively identify and address bottlenecks across pipelines, infrastructure, and delivery processes.
· Mentor and guide team members while leading by example through hands-on technical contributions.
Qualifications Education
· Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related discipline.
· Experience 7+ years of experience in data engineering, cloud-native platforms, or complex technical delivery roles.
· 3+ years in a technical leadership or team lead role, balancing people leadership with hands-on engineering.
· Strong hands-on experience with AWS cloud services (data engineering-focused) and Databricks (Delta Lake, Spark, Unity Catalog).
· Proven experience delivering solutions in regulated domains such as aviation, finance, or public sector.
· Familiarity with Agile/Scrum methodologies and cross-functional collaboration.
· Experience with AWS Databricks, Delta Lake, live/real-time data streaming, and medallion architecture.
· Exposure to AI / GenAI concepts or intelligent agent-based architectures.
· Familiarity with aviation data standards (e.g., ADS-B, ARINC 424, flight schedules), or strong willingness to learn.
· AWS certifications in Data Analytics, Big Data, or Machine Learning.
· Experience working with high-volume, real-time data processing systems.
