
11 - 50 employees
💼 Consulting
📣 Marketing
⚡ Productivity
💰 $20M Series A on 2021-11
Consulting • Marketing • Productivity
Datafold is a company that specializes in automating testing for data engineers. With a focus on data quality and data engineering, Datafold provides solutions that enhance the data testing process, making it easier for professionals in the field to ensure data integrity and reliability.
🔥 0 minutes ago
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11 - 50 employees
💼 Consulting
📣 Marketing
⚡ Productivity
💰 $20M Series A on 2021-11
Consulting • Marketing • Productivity
Datafold is a company that specializes in automating testing for data engineers. With a focus on data quality and data engineering, Datafold provides solutions that enhance the data testing process, making it easier for professionals in the field to ensure data integrity and reliability.
• Evaluate third-party tools, platforms, and emerging technologies relevant to data migration, data infrastructure, and AI-assisted workflows • Perform technical benchmarking, integration feasibility analysis, and build-versus-buy assessments • Develop and apply quantitative models to assess migration risk, predict data quality issues, and validate data consistency across source and target databases • Coordinate end-to-end customer data migration projects, including scoping, sequencing, milestone planning, risk identification, dependency management, and cross-functional execution • Design, build, and maintain internal data pipelines and supporting infrastructure integrating structured and unstructured data sources • Develop analytical playbooks, migration frameworks, and data-driven operational accelerators • Implement data quality monitoring, automated regression validation, and lineage analysis workflows using Python and SQL • Evaluate cloud and multi-cloud data environments for cost efficiency, reliability, and integration risk • Implement data models, dashboards, and internal reporting structures • Support technology partnerships and external cooperation efforts by assessing integration opportunities and coordinating partner-solution implementation • Act as an internal subject matter resource for data pipeline evaluation and migration methodologies • Translate operational findings into structured product feedback
• Master's Degree in Data Science, Applied Mathematics, or a closely related quantitative field • At least 2 years of previous experience in Data Science, Technology Evaluation, or Applied Analytical roles • Experience must include performance assessment of AI/ML technologies • Must be able to telecommute from the continental U.S.
• Equal opportunity employment • Inclusive and diverse work environment • Respectful workplace where employees are valued and unique perspectives are respected and celebrated
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