Forward Deployed Data Engineer

Job not on LinkedIn

🕒 June 24

🇺🇸 United States – Remote

💵 $155k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 47%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Datafold

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff • Serve as the primary customer contact • Run weekly check-ins, manage stakeholder expectations, and escalate risks early • Configure Datafold's Migration Agent and oversee migration execution • Partner with Datafold's engineering team to execute migrations • Refine and scale the product and delivery playbook as the team grows • Gain deep understanding of customers' data platforms and remove blockers for timely migration delivery

🎯 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 — 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 • Right to work in the USA

🏖️ Benefits

• Equity