Remote Data Jobs · Great Expectations

• Implement and maintain metadata management and data quality platforms in a cloud-native AWS ecosystem.
• Automate metadata ingestion, data lineage, and data quality monitoring using Python and SQL.
• Collaborate with Data Engineering, Data Governance, and AI teams to drive data standards adoption.

Software Mind develops solutions that make an impact for companies around the globe. They build cross-functional engineering teams and their culture embraces openness, respect, grit, and enjoyment.

• Design and implement a scalable enterprise data quality framework across data platforms and business domains.
• Lead the implementation and operationalization of GX Core (Great Expectations) or similar data validation solutions.
• Build automated validation checks for critical datasets, workflows, and operational processes.

The hiring company is a technology organization specializing in data engineering and quality solutions. They offer a remote work environment and emphasize collaboration across engineering teams.

• Build and own data quality and observability across a data platform, profiling data and defining quality rules to catch issues early.
• Establish quality metrics, monitoring, and alerting, and track quality SLAs while investigating and resolving data issues at their source.
• Partner with data engineering and business stakeholders on quality standards and reporting, leveraging strong SQL and Snowflake expertise.

Allocate is transforming private market investing by enabling RIAs and family offices to discover, model, and manage private market exposure through a data-rich platform. They are a growth-stage company that values meritocracy, civil discourse, and continuous improvement, embracing technological change especially around AI and automation.