Senior Data Engineer, Analytics

Responsibilities

• Design, build, and maintain curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses
• Own metric definitions end to end, from partnering with data science and product team to define what we should measure, to implementing it in production, to surfacing it in visualization tools
• Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions
• Partner closely with data science, product manager, and engineering teams to translate business questions into well modeled, performant, and discoverable data assets
• Establish and enforce data quality standards through testing frameworks, documentation, and monitoring for the datasets you own
• Drive adoption of consistent data modeling patterns, naming conventions, and documentation norms across the data organization

Requirements

• 4+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets
• 4+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources
• 4+ years of experience writing accurate and effective code in SQL
• Experience with designing data models to power a variety of use cases, including experimentation
• Fluency in Python or another programming language, with solid fundamentals in version control and CI/CD practices
• Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar)
• Strong business acumen, partnering with data scientists and product managers to translate ambiguous business questions into concrete metric definitions and data models
• Excellent communication skills, comfortable being the connective tissue between technical and business teams

Nice-to-Haves

• Passion for Discord or online communities
• Experience building or contributing to a semantic layer or metrics store
• Experience with modern analytics and data engineering tools and workflows (dbt, BigQuery, or similar)
• Experience defining and governing metric standards across a data organization
• Experience working on analytics for core features (i.e. messaging, video/voice call etc) in communication app
• Experience working on analytics for performance and reliability of communication app

Compensation

• The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits