Staff Analytics Engineer

Twilio Twilio · Enterprise · United States · Remote · Ops (Fraud, Compliance, Biz, Prod, Analyst)

This role is for a Staff Analytics Engineer focused on building and maintaining an analytics data layer for R&D at Twilio. The responsibilities include designing data layers, collaborating on metric definitions, developing data quality checks, investigating anomalies, and mentoring team members. The required qualifications include extensive experience in analytics engineering, SQL, and data pipeline orchestration using AWS Glue or similar technologies, along with strong stakeholder collaboration and communication skills. Desired qualifications include Python, distributed computing, dashboarding tools, and data quality/observability frameworks.

What you'd actually do

  1. Design and implement a formal analytics data layer using AWS Glue, Presto, and LookML
  2. Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definition and data lineage
  3. Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards
  4. Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences
  5. Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review

Skills

Required

  • SQL
  • data modeling
  • data pipelines
  • AWS Glue
  • stakeholder collaboration
  • technical communication
  • mentorship

Nice to have

  • Python
  • Presto
  • Spark
  • Looker
  • Tableau
  • dbt tests
  • CI/CD
  • data observability

What the JD emphasized

  • Advanced expertise in SQL
  • hands-on experience designing data models and orchestrating data pipelines using AWS Glue or similar technologies
  • Proven track record of owning ambiguous projects from beginning to end with minimal guidance