Role OverviewJoin a distributed team as a Senior Data Analytics Engineer, responsible for architecting and implementing robust, scalable data solutions on AWS and Snowflake. You'll play a central role in shaping technical direction, working directly with clients to understand their needs, and translating business requirements into efficient, secure data architectures.
Key Responsibilities
- Design and build data pipelines and analytics platforms that support high-volume, mission-critical workloads
- Lead technical decisions around system architecture, ensuring solutions are secure, maintainable, and performant
- Engage with stakeholders to gather requirements, provide technical guidance, and align data strategies with business goals
- Review code and support junior engineers through hands-on mentorship and problem-solving
- Work alongside project managers, analysts, and development teams to deliver on project timelines
- Implement testing and optimization practices to ensure data accuracy and system reliability
- Monitor emerging trends in data engineering and advocate for adoption of effective new tools and methods
Required Qualifications
- Minimum of five years of professional experience in data engineering or a closely related discipline
- Proven track record delivering data solutions on AWS and Snowflake platforms
Technical Environment
Core technologies include Amazon Web Services (AWS) and Snowflake, with an emphasis on cloud-native, scalable data architectures.
Work Arrangement
This is a fully remote role with a globally distributed team. Candidates must be able to maintain regular overlap with US Eastern and Central time zones to support collaboration and client engagement.
