Grammarly's success depends on its ability to efficiently ingest over 60 to 70 billion daily events while using our systems to improve our product. This role presents a unique opportunity to experience all aspects of building complex software systems, including contributing to the strategy, defining the architecture, and developing and shipping to production.
Requirements
- Expert in SQL and proficient in technologies like Spark, Kafka, Terraform, and in at least one programming language commonly used for data engineering (e.g., 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, and understanding of data governance, privacy regulations (GDPR/CCPA).
- Hands-on experience with modern data storage technologies (e.g., Delta Lake, Snowflake, BigQuery, Redshift).
- Is a strategic thinker, able to evaluate whether to build internally or leverage third-party solutions, ensuring the right balance between speed, scalability, and long-term viability.
- Brings at least 10 years of experience in large-scale distributed computing systems, with expertise in both data engineering and data modeling.
- Has 5+ years of experience managing live production environments, including high-load systems or data-intensive workflows with a focus on uptime and reliability.
Responsibilities
- Architect and lead the development of large-scale systems for data pipelines, data lakes that handle billions of daily events.
- Design and implement solutions that ensure data is available, secure, and scalable across the platform, enabling real-time and batch processing.
- Make high-level architectural decisions about system design, technology choices, and platform evolution, ensuring scalability and long-term sustainability.
- Collaborate with key stakeholders, such as product teams, data engineers, back-end developers, and ML engineers, to build tools & frameworks that power analytics, product features, and data-driven workflows.
- Work with business stakeholders such as Analytics Eng, Data Science teams to build high-impact data products enabling business-critical features, research, and experimentation with a focus on efficiency and alignment
- Collaborate with Leadership in devising the charter and technical roadmaps
- Mentor engineers across back-end infrastructure and data engineering disciplines, fostering a culture of collaboration and technical excellence.
Other
- Grammarly offers a dynamic hybrid working model for this role.
- Grammarly team members in this role must be based in San Francisco or New York City.
- Is an excellent communicator and collaborator, able to work across diverse teams and stakeholders, translates business needs into robust data solutions, and ensures alignment on technical goals.
- Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
- Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
