Design and evolve the platform’s canonical data model
Architect and implement scalable data ingestion and synchronization frameworks
Build reliable, replayable, and highly scalable data processing pipelines
Design entity resolution and identity management capabilities
Define and implement data governance, lineage, and provenance standards
Drive architectural decisions related to scalability, resiliency, security, and operability
Collaborate with product and engineering teams to define platform capabilities and roadmap
Design APIs and delivery mechanisms for downstream consumers
Support customer migrations from legacy systems into the new platform
Mentor engineers and contribute to technical leadership across the team
Ensure platform reliability, performance, and operational excellence

At least 5+ years of experience as a Software Developer or Data Engineer
Strong expertise in Java
Deep understanding of data platforms, integration platforms, or distributed systems
Hands-on experience with stream processing technologies (Apache Beam, Spark, Flink, Kafka Streams)
Experience designing and operating event-driven architectures
Strong data modeling and schema design skills
Experience with cloud-native architectures (GCP preferred)
Experience designing multi-tenant SaaS platforms
Strong understanding of data governance, lineage, data quality, and observability concepts
Proven ability to drive architectural decisions and technical initiatives
Strong communication and collaboration skills
Upper-Intermediate+ English level

WILL BE A PLUS

Software Developer / Data Engineer (EdTech platform)