Own the architecture and roadmap for scalable, secure, and high-quality data pipelines and platforms.
Lead and mentor a team of data engineers while establishing engineering best practices, coding standards, and governance models.
Design and implement high-performance ETL/ELT pipelines using modern Big Data technologies for diverse internal and external data sources.
Drive modernization initiatives including re-architecting legacy systems to support next-generation data products, ML workloads, and analytics use cases.
Partner with Product, Engineering, and Business teams to translate requirements into robust technical solutions that align with organizational priorities.
Champion data quality, monitoring, metadata management, and observability across the ecosystem.
Lead initiatives to improve cost efficiency, data delivery SLAs, automation, and infrastructure scalability.
Provide technical leadership on data modeling, orchestration, CI/CD for data workflows, and cloud-based architecture improvements.
Qualifications:
Bachelor's degree in Engineering, Computer Science, or relevant field.
8+ years of relevant and recent experience in a Data Engineer role.
5+ years recent experience with Apache Spark and solid understanding of the fundamentals.
Deep understanding of Big Data concepts and distributed systems.
Demonstrated ability to design, review, and optimize scalable data architectures across ingestion.
Strong coding skills with Scala, Python and the ability to quickly switch between them with ease.
Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL.
Cloud Experience with DataBricks.
Strong understanding of Delta Lake architecture and working with Parquet, JSON, CSV, and similar formats.
Experience establishing and enforcing data engineering best practices, including CI/CD for data, orchestration and automation, and metadata management.
Comfortable working in an Agile environment
Machine Learning knowledge is a plus.
Demonstrated ability to operate independently, take ownership of deliverables, and lead technical decisions.
Excellent written and verbal communication skills in English.
Experience supporting and working with cross-functional teams in a dynamic
