Senior Data Quality & Observability Engineer

About the Company

Allocate is transforming private market investing by enabling RIAs and family offices to seamlessly discover, model, and manage their private market exposure. Our platform combines curated fund and co-investment opportunities with institutional-grade infrastructure.

Responsibilities

• Build and own data quality and observability across the 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

Requirements

• 5+ years in data engineering, analytics engineering, or data quality
• Deep SQL and hands-on Snowflake experience
• 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
• Proficiency with Git and version control systems
• Experience with AI-assisted development tools (e.g., Claude Code, OpenAI's Codex, or Cursor)
• Bachelor's degree in a technical or quantitative field, or equivalent practical experience

Preferred Qualifications

• Experience with dbt and modern ELT / orchestration tooling
• Experience with 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)