Data Scientist - Migration Intelligence
Datafold, Inc. - Brooklyn, NY
May telecommute from the continental U.S.
Evaluate third-party tools, platforms, and emerging technologies relevant to data migration, data infrastructure, and AI-assisted workflows, including technical benchmarking and integration feasibility analysis, and build-versus-buy assessment.
Develop and apply quantitative models and analytical frameworks to assess migration risk, predict data quality issues, and validate data consistency across source and target database environments throughout migration project delivery.
Coordinate end-to-end delivery of customer data migration projects, including scoping, sequencing, milestone planning, risk identification, dependency management, and cross-functional execution across internal teams, customers, and external partners.
Design, build, and maintain internal data pipelines and supporting infrastructure that integrate diverse structured and unstructured data sources for analytics and reporting and operational use cases.
Develop repeatable analytical playbooks, migration frameworks, and data-driven operational accelerators based on hands-on project delivery experience.
Implement data quality monitoring, automated regression validation, and lineage analysis workflows using Python and SQL to support platform development and customer migration engagements.
Evaluate cloud and multi-cloud data environments for cost efficiency, reliability, and integration risk, producing analytical recommendations that inform architectural and sourcing decisions.
Implement data models, dashboards, and internal reporting structures that unify multiple sources of information into actionable insights for product, sales, and operational teams.
Support technology partnerships and external cooperation efforts by assessing integration opportunities and coordinating the technically sound implementation of partner solutions.
Act as an internal subject matter resource for data pipeline evaluation and migration methodologies, validating analytical workflows on internal data and translating 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.
$155,000.00/Year
Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.
","descriptionPlain":"ABOUT THE ROLE\n\nData Scientist - Migration Intelligence\nDatafold, Inc. - Brooklyn, NY\nMay telecommute from the continental U.S.\n\n\n\n\nWHAT YOU’LL DO\n\n - Evaluate third-party tools, platforms, and emerging technologies relevant to data migration, data infrastructure, and AI-assisted workflows, including technical benchmarking and integration feasibility analysis, and build-versus-buy assessment.\n\n - Develop and apply quantitative models and analytical frameworks to assess migration risk, predict data quality issues, and validate data consistency across source and target database environments throughout migration project delivery.\n\n - Coordinate end-to-end delivery of customer data migration projects, including scoping, sequencing, milestone planning, risk identification, dependency management, and cross-functional execution across internal teams, customers, and external partners.\n\n - Design, build, and maintain internal data pipelines and supporting infrastructure that integrate diverse structured and unstructured data sources for analytics and reporting and operational use cases.\n\n - Develop repeatable analytical playbooks, migration frameworks, and data-driven operational accelerators based on hands-on project delivery experience.\n\n - Implement data quality monitoring, automated regression validation, and lineage analysis workflows using Python and SQL to support platform development and customer migration engagements.\n\n - Evaluate cloud and multi-cloud data environments for cost efficiency, reliability, and integration risk, producing analytical recommendations that inform architectural and sourcing decisions.\n\n - Implement data models, dashboards, and internal reporting structures that unify multiple sources of information into actionable insights for product, sales, and operational teams.\n\n - Support technology partnerships and external cooperation efforts by assessing integration opportunities and coordinating the technically sound implementation of partner solutions.\n\n - Act as an internal subject matter resource for data pipeline evaluation and migration methodologies, validating analytical workflows on internal data and translating operational findings into structured product feedback.\n\n\nREQUIREMENTS\n\n - Master's Degree in Data Science, Applied Mathematics, or a closely related quantitative field.\n\n - 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.\n\n\nSALARY\n\n$155,000.00/Year\n\n\n\nDatafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"40ff3cd0-aac1-4215-b308-cc22bc6f9e07","title":"Senior Enterprise Account Executive – US East & Central","department":"Sales","team":"Sales","employmentType":"FullTime","location":"USA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-07T18:09:48.130+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":" ","addressCountry":"USA","addressLocality":" "}},"jobUrl":"https://jobs.ashbyhq.com/datafold/40ff3cd0-aac1-4215-b308-cc22bc6f9e07","applyUrl":"https://jobs.ashbyhq.com/datafold/40ff3cd0-aac1-4215-b308-cc22bc6f9e07/application","descriptionHtml":"About Datafold
Datafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects — such as data platform migrations — with AI, at a fixed price and a guaranteed timeline. We are not a typical software vendor or SI: we are a venture-backed company that reimagined automation from the ground up and delivers projects up to 6x faster than alternatives, disrupting the IT Services industry.
We partner deeply with data platforms such as Databricks and Snowflake to source, co-sell, and deliver migrations at scale.
About the role
Datafold is hiring a senior Account Executive to own new business across the Eastern and Central US. This is a high-ownership, partner-led role. You'll sell a product where the outcome — a completed migration, on time, at a fixed price — is the contract. That's a fundamentally different conversation from traditional software sales, and it requires someone who can earn trust at both the technical and executive levels simultaneously.
You will build and run your own pipeline through our data platform partnerships, own the full sales cycle from first call to signed contract, and work closely with our Forward Deployed Engineers to ensure a seamless handoff and customer experience.
Why now
Last quarter we closed more business than in the previous two years combined. Demand from our partners is bigger than our sales team. This is the second US seller role, alongside our West Coast AE.
What you'll do
Own the full sales cycle for new logos across the Eastern and Central US: discovery, technical qualification, proposal, negotiation, and close
Build and develop pipeline through our partner ecosystem (Databricks, Snowflake, GCP, dbt, Microsoft), including field co-sell, joint account planning, and partner-sourced introductions
Run compelling discovery and value conversations with both data engineering leaders and executive buyers (VP/CTO level)
Collaborate with Forward Deployed Data Engineers to scope migration projects, build SOWs, and set customer expectations on delivery
Represent Datafold at partner events, field meetups, and customer briefings across the US
Feed market and competitive intelligence back into product and GTM — you are close to customers and partners; your input shapes how we evolve
What we're looking for
7+ years in enterprise sales, with 3+ years selling professional services or outcome-based deals in data & analytics (migrations, modernization, data engineering)
A track record of closing $250K–$1M+ deals and hitting a personal quota of $3M+
Strong co-sell relationships with Databricks, Snowflake, or hyperscaler field teams
Technical enough to scope a migration with a data engineering lead, and polished enough to sit in front of a CIO
Self-starter with a builder mentality — we have a motion that works, and you'll help define how it scales in your region
Based in the Eastern or Central US
Compensation
$300K–$400K OTE, depending on experience. Base $150K–$200K. Uncapped commission and meaningful equity.
Benefits
Medical, dental and vision insurance; 401(k); flexible PTO; remote-first, with travel to partners and customers.
Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.
","descriptionPlain":"About Datafold\n\nDatafold is the data engineering automation platform. A major part of our business is delivering large-scale data engineering projects — such as data platform migrations — with AI, at a fixed price and a guaranteed timeline. We are not a typical software vendor or SI: we are a venture-backed company that reimagined automation from the ground up and delivers projects up to 6x faster https://www.datafold.com/case-study/chg-healthcare-mysql-to-snowflake-migration than alternatives, disrupting the IT Services industry.\n\nWe partner deeply with data platforms such as Databricks and Snowflake to source, co-sell, and deliver migrations at scale.\n\n \n\nAbout the role\n\nDatafold is hiring a senior Account Executive to own new business across the Eastern and Central US. This is a high-ownership, partner-led role. You'll sell a product where the outcome — a completed migration, on time, at a fixed price — is the contract. That's a fundamentally different conversation from traditional software sales, and it requires someone who can earn trust at both the technical and executive levels simultaneously.\n\nYou will build and run your own pipeline through our data platform partnerships, own the full sales cycle from first call to signed contract, and work closely with our Forward Deployed Engineers to ensure a seamless handoff and customer experience.\n\n \n\nWhy now\n\nLast quarter we closed more business than in the previous two years combined. Demand from our partners is bigger than our sales team. This is the second US seller role, alongside our West Coast AE.\n\n \n\nWhat you'll do\n\n - Own the full sales cycle for new logos across the Eastern and Central US: discovery, technical qualification, proposal, negotiation, and close\n\n - Build and develop pipeline through our partner ecosystem (Databricks, Snowflake, GCP, dbt, Microsoft), including field co-sell, joint account planning, and partner-sourced introductions\n\n - Run compelling discovery and value conversations with both data engineering leaders and executive buyers (VP/CTO level)\n\n - Collaborate with Forward Deployed Data Engineers to scope migration projects, build SOWs, and set customer expectations on delivery\n\n - Represent Datafold at partner events, field meetups, and customer briefings across the US\n\n - Feed market and competitive intelligence back into product and GTM — you are close to customers and partners; your input shapes how we evolve\n\nWhat we're looking for\n\n - 7+ years in enterprise sales, with 3+ years selling professional services or outcome-based deals in data & analytics (migrations, modernization, data engineering)\n\n - A track record of closing $250K–$1M+ deals and hitting a personal quota of $3M+\n\n - Strong co-sell relationships with Databricks, Snowflake, or hyperscaler field teams\n\n - Technical enough to scope a migration with a data engineering lead, and polished enough to sit in front of a CIO\n\n - Self-starter with a builder mentality — we have a motion that works, and you'll help define how it scales in your region\n\n - Based in the Eastern or Central US\n\nCompensation\n\n$300K–$400K OTE, depending on experience. Base $150K–$200K. Uncapped commission and meaningful equity.\n\nBenefits\n\nMedical, dental and vision insurance; 401(k); flexible PTO; remote-first, with travel to partners and customers.\n\n \n\n\n\nDatafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.","compensation":{"compensationTierSummary":"$150K – $200K • Offers Equity • Offers Commission","scrapeableCompensationSalarySummary":"$150K - $200K","compensationTiers":[{"id":"f062c2a0-0971-4816-a36f-81cd04fa7ad6","tierSummary":"Base (OTE $300K–$400K, uncapped commission) $150K – $200K • Offers Equity • Offers Commission","title":null,"additionalInformation":null,"components":[{"id":"00669106-dab0-4559-9417-dac24ba8d1c6","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"5f675af7-0bf7-4ad7-8ad9-383d6301eb56","summary":"Offers Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"id":"9eb3b59c-bd36-4fcd-afad-43f681923cee","summary":"Base (OTE $300K–$400K, uncapped commission) $150K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000}]}}],"apiVersion":"1"}