Grammarly is hiring a
Engineering Manager

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Grammarly

💵 $285k-$325k
📍Remote - United States

Summary

Join Grammarly's Data Platform team as a Manager to achieve ambitious objectives and lead the design, implementation, and maintenance of secure, scalable, and optimized data platforms.

Requirements

  • 7+ years of experience in data engineering, infrastructure & governance, with at least 2-3 years in a leadership or management role
  • Proven experience in building and managing large-scale data platforms, including data ingestion pipelines and infrastructure
  • Experience with cloud platforms and data ecosystems such as AWS, GCP, Azure, and Databricks
  • Familiarity with modern data engineering and orchestration tools and frameworks (e.g., Apache Kafka, Airflow, DBT, Spark)
  • Strong understanding of data governance frameworks, policy management, and self-serve analytics platforms
  • Excellent leadership and people management skills, with a track record of mentoring and developing high-performing teams
  • Experience working with geographically distributed teams and aligning with global data and governance strategies
  • Strong problem-solving skills, with the ability to navigate and resolve complex technical challenges
  • Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across different locations and time zones
  • Proven ability to operate in a fast-paced, dynamic environment where things change quickly
  • Leads by setting well-understood goals and sharing the appropriate level of context for maximum autonomy, but is also profoundly technical and can dive in to help when necessary
  • Embodies our EAGER values—ethical, adaptable, gritty, empathetic, and remarkable
  • Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust

Responsibilities

  • Build a highly specialized data platform team to support the growing needs and complexity of our product, business, and ML organizations
  • Oversee the design, implementation, and maintenance of a robust data infrastructure, ensuring high availability and reliability across ingestion, processing, and storage layers
  • Lead the development of frameworks and tooling that enable self-serve analytics, policy management, and seamless data governance across the organization
  • Ensure data is collected, transformed, and stored efficiently to support real-time, batch processing, and machine learning needs
  • Act as a liaison between the Data Platform team and the broader organization, ensuring seamless communication, collaboration, and alignment with global data strategies
  • Drive cross-functional meetings and initiatives to represent the Data Platform team’s interests and contribute to the organization’s overall data strategy, ensuring ML and analytics use cases are adequately supported
  • Drive the evaluation, selection, and implementation of new technologies and tools that enhance the team’s capabilities and improve the organization’s overall data infrastructure and governance processes
  • Implement and enforce data governance policies and practices to ensure data quality, privacy, security, and compliance with organizational standards
  • Collaborate with stakeholders to define and refine data governance policies that align with business objectives and facilitate discoverability and accessibility of high-quality data
  • Monitor and assess the data platform's performance to identify areas for optimization, cost management, and continuous improvement
  • Foster a collaborative and high-performance culture within the team, emphasizing ownership and innovation
  • Cultivate an ownership mindset and culture across product and platform teams by providing necessary metrics to drive informed decisions and continuous improvement
  • Set high performance and quality standards, coaching team members to meet them, and mentoring and growing junior and senior IC talent

Benefits

  • Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
  • Disability and life insurance options
  • 401(k) and RRSP matching
  • Paid parental leave
  • 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and unlimited sick days
  • Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
  • Annual professional development budget and opportunities

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