
Job Overview
Location
USA
Job Type
Full-time
Category
Software Engineering
Date Posted
May 28, 2026
Full Job Description
đź“‹ Description
- • As a Forward Deployed Data Engineer at Datafold, you will own the end-to-end delivery of AI-automated data platform migration projects, serving as the primary customer contact and technical lead for large-scale migrations with guaranteed timelines.
- • Day to day, you will manage 1–4 concurrent migration projects from scoping and planning through execution and customer handoff, run weekly check-ins with stakeholders, configure and oversee Datafold's Migration Agent, and partner with engineering teams to ensure timely delivery.
- • You will join a venture-backed software company that has reimagined data engineering automation from the ground up, delivering projects up to 6x faster than traditional methods through proprietary AI tooling and deep partnerships with platforms like Databricks and Snowflake.
- • In this role, you will gain deep expertise in AI-driven data migration, refine scalable delivery playbooks, and grow your impact as a technical leader at the intersection of data engineering, customer success, and product innovation.
🎯 Requirements
- • 3–6 years in data consulting, professional services, or a customer-facing data engineering role
- • Excellent communication skills — equally comfortable in an exec check-in and a technical design session
- • Strong grasp of the modern data stack: dbt, Snowflake, Databricks, orchestration tools, and major patterns (stored procedures, streaming, incremental processing)
- • Extreme ownership mentality — you identify, surface, and fix problems and rally the team to help without being told
- • AI power user — using AI every day and always learning and improving on how to use it more effectively
- • Exposure to legacy data stack and patterns (ETL, stored procedures, etc.) and data platform migration projects is a strong plus
🏖️ Benefits
- • Competitive salary + equity
- • Opportunity to own large-scale data migration projects end-to-end with AI automation
- • Direct partnership with leading data platforms like Databricks and Snowflake
- • High-ownership, customer-facing role at a venture-backed software company redefining data engineering
- • Chance to help refine and scale product and delivery playbooks as the team grows
Skills & Technologies
About Datafold Inc.
Datafold is a data observability platform designed to help data teams ensure the quality and reliability of their data pipelines. It provides automated data quality checks, anomaly detection, and impact analysis, allowing engineers and analysts to quickly identify and resolve data issues. By integrating seamlessly with existing data stacks, Datafold helps prevent data errors from reaching downstream applications and business intelligence tools. This proactive approach minimizes data downtime, reduces debugging time, and builds trust in data, ultimately enabling organizations to make faster, more confident data-driven decisions. The company operates in the rapidly growing data infrastructure and analytics market.
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