Senior/Principal Data Engineer

On-siteSeniorData EngineerJust posted

✦Role summaryAI-generated

This senior data engineer will design and maintain scalable, secure data platforms and pipelines, driving architecture decisions around data modeling and storage strategies. They will lead modernization initiatives, implement batch and streaming solutions with cloud-native technologies, and mentor the engineering team while ensuring best practices in CI/CD, observability, and data quality.

About this role

Design, build, and maintain scalable, secure, and reliable data platforms, pipelines, and data products
Drive architecture discussions related to data modeling, storage strategies, integration patterns, and platform evolution
Take end-to-end ownership of technical solutions and contribute to architectural and engineering decision-making
Develop and implement batch and streaming data solutions using modern cloud-native technologies
Lead platform modernization initiatives and continuous technical improvements
Establish and promote engineering best practices including CI/CD, testing, observability, security, and data quality
Mentor and support Data Engineers through technical guidance, code reviews, and knowledge sharing
Lead onboarding activities for new team members and support their integration into the engineering organization
Collaborate with Product Managers, Software Engineers, Analysts, and business stakeholders to deliver scalable data solutions
Contribute to technical roadmaps and influence engineering direction across teams

Qualifications

5–8+ years of experience in Software Engineering, including 3–5+ years of hands-on Data Engineering experience
Upper-Intermediate or higher English level
Strong experience building and operating scalable data platforms and pipelines in cloud environments
Advanced SQL knowledge and strong understanding of data modeling and data architecture principles
Strong programming skills in Python
Hands-on experience with Apache Spark, Databricks, and Kafka
Experience developing ETL/ELT pipelines and orchestration workflows
Strong AWS cloud experience and knowledge of cloud-native data services
Experience designing modern data warehouse or lakehouse architectures
Strong system design and problem-solving skills
Ability to balance business and technical priorities while making architecture decisions
Experience mentoring engineers and driving engineering best practices
Strong communication and collaboration skills across technical and business teams

WILL BE A PLUS