Note: The job is a remote job and is open to candidates in USA. Allocate is transforming private market investing by enabling RIAs and family offices to seamlessly discover, model, and manage their private market exposure. They are seeking a Senior Data Quality & Observability Engineer to join the Data Operations team and help lay the technical foundation for the company's future.
Responsibilities
- Build and own data quality and observability across our data platform
- Profile data, define quality rules, and catch issues early
- Establish quality metrics, monitoring, and alerting, and track quality SLAs
- Investigate and resolve data issues at their source
- Partner with data engineering and business stakeholders on quality standards and reporting
Skills
- 5+ years in data engineering, analytics engineering, or data quality, with deep SQL and hands-on Snowflake
- Experience with data quality or observability tooling (e.g., dbt tests, Great Expectations, Soda, or Monte Carlo)
- Hands-on data profiling and experience defining quality rules, metrics, and SLAs
- Strong analytical skills and the ability to partner with business stakeholders
- Proficiency with Git and version control systems
- Hands-on experience with AI-assisted development tools such as Claude Code, OpenAI's Codex, or Cursor, and a demonstrated ability to incorporate new tools as they emerge
- Bachelor's degree in a technical or quantitative field, or equivalent practical experience
- Dbt and modern ELT / orchestration tooling
- Data governance, cataloging, or lineage tools
- Background in fund, asset-management, or other financial data
Benefits
- Medical, dental, and vision
- 401(k)
- Responsible vacation time (PTO)
- Travel required for team and department offsites
- An in-person interview may be required during the process
- A broadband internet connection is required
Company Overview