Description
We are looking for an experienced Senior Data Engineer, Analytics to join our data team. As a Senior Data Engineer, Analytics, you will be responsible for owning the transformation and semantic layer that turns data into clean, tested, well-documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and self-serve from.
You will define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. This involves designing, building, and maintaining curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses.
Key responsibilities include:
- Designing, building, and maintaining curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses
- Owning metric definitions end-to-end, from partnering with data science and product teams to define what we should measure, to implementing it in production, to surfacing it in visualization tools
- Building and maintaining executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions
- Partnering closely with data science, product manager, and engineering teams to translate business questions into well-modeled, performant, and discoverable data assets
- Establishing and enforcing data quality standards through testing frameworks, documentation, and monitoring for the datasets you own
- Driving adoption of consistent data modeling patterns, naming conventions, and documentation norms across the data organization
Requirements include:
- 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, with the ability to partner with data scientists and product managers to translate ambiguous business questions into concrete metric definitions and data models
- Excellent communication skills, with the ability to be the connective tissue between technical and business teams
Bonus points include:
- 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 a communication app
- Experience working on analytics for performance and reliability of a communication app
The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits.