Software Engineer, Data Platform

Grammarly

full-time

Posted on: 9/24/2025

Origin: • 🇩🇪 Germany

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Mid-LevelSenior

AirflowAmazon RedshiftBigQueryETLJavaKafkaPythonScalaSparkSQLTerraform

About the role

Architect and lead development of large-scale systems for data pipelines and data lakes handling billions of daily events
Design and implement solutions for data availability, security, scalability across the platform enabling real-time and batch processing
Make high-level architectural decisions about system design, technology choices, and platform evolution
Collaborate with product teams, data engineers, back-end developers, and ML engineers to build tools and frameworks for analytics, product features, and workflows
Work with business stakeholders to build high-impact data products for features, research, and experimentation
Collaborate with Leadership to devise charter and technical roadmaps
Mentor engineers across back-end infrastructure and data engineering disciplines

Experience in large-scale distributed computing systems, data engineering and data modeling
Experience managing live production environments, high-load systems or data-intensive workflows
Expert in SQL
Proficient in Spark, Kafka, Terraform, and at least one programming language (Python, Scala, or Java)
Strong knowledge of ETL/ELT design patterns, orchestration tools (e.g., Airflow, dbt, Dagster), and data quality frameworks
Ability to design scalable, secure, and maintainable data models and architectures, understanding of data governance, GDPR/CCPA
Hands-on experience with modern data storage technologies (e.g., Delta Lake, Snowflake, BigQuery, Redshift)
Strategic thinker evaluating build vs third-party solutions
Excellent communicator and collaborator
Ability to work independently with minimal guidance
Embodies EAGER values and MOVE principles