Senior Data Quality & Observability Engineer (Snowflake)

Allocate•Palo Alto, CA

1d•$165,000 - $185,000•Remote

About The Position

Allocate is looking to add a Senior Data Quality & Observability Engineer to the Data Operations team! There's a lot for us to build, and we need a strong engineer with a broad skillset who can jump right in to help us lay the technical foundation for the company's future.

Requirements

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.

Nice To Haves

dbt and modern ELT / orchestration tooling.
Data governance, cataloging, or lineage tools.
Background in fund, asset-management, or other financial data.

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.