Datafold

1 month ago

Forward Deployed Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Own end-to-end data platform migration projects for enterprise clients, combining data engineering, AI tooling, and project leadership. Serve as the primary customer liaison, plan and execute migrations, and collaborate with the Datafold engineering team to refine delivery playbooks while scaling capabilities for multiple concurrent projects.

Location: New York

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff
•Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early
•Configure Datafold’s Migration Agent and oversee the migration execution
•Partner with Datafold’s engineering team to execute migrations
•Help refine and scale our product and delivery playbook as the team grows

Pay and Benefits

Salary: USD 110,000 - 200,000 annually

Equity and Bonus:Equity

Key Requirements

•3–6 years in data consulting, professional services, or a customer-facing data engineering role
•Excellent communication skills, comfortable in executive check-ins and technical design sessions
•Strong grasp of the modern data stack (dbt, Snowflake, Databricks, orchestration tools) and patterns (stored procedures, streaming, incremental processing)
•Extreme ownership mentality with ability to surface and fix problems and rally the team
•AI power user who uses AI daily and continually learns to improve how it’s used

Experience:3-6 yearsData analyticsData engineeringAI

Skills:CommunicationProblem-solvingStakeholder managementOwnershipTeamwork

Tech Stack:DbtSnowflakeDatabricksOrchestrationETLStored proceduresStreamingIncremental processingAI

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Datafold

Provides a data observability platform that helps engineering and analytics teams detect, explain, and prevent data quality and regression issues across data pipelines, improving trust in analytics and reducing time spent on debugging data problems.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2019

Website LinkedIn

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Datafold

1 month ago

Forward Deployed Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own 1–4 concurrent migration projects end-to-end: scoping, planning, execution, and customer handoff
•Be the primary customer contact: run weekly check-ins, manage stakeholder expectations, and escalate risks early
•Configure Datafold’s Migration Agent and oversee the migration execution
•Partner with Datafold’s engineering team to execute migrations
•Help refine and scale our product and delivery playbook as the team grows

Pay and Benefits

Salary: USD 110,000 - 200,000 annually

Equity and Bonus:Equity

Key Requirements

•3–6 years in data consulting, professional services, or a customer-facing data engineering role
•Excellent communication skills, comfortable in executive check-ins and technical design sessions
•Strong grasp of the modern data stack (dbt, Snowflake, Databricks, orchestration tools) and patterns (stored procedures, streaming, incremental processing)
•Extreme ownership mentality with ability to surface and fix problems and rally the team
•AI power user who uses AI daily and continually learns to improve how it’s used

Experience:3-6 yearsData analyticsData engineeringAI

Skills:CommunicationProblem-solvingStakeholder managementOwnershipTeamwork

Tech Stack:DbtSnowflakeDatabricksOrchestrationETLStored proceduresStreamingIncremental processingAI

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Datafold

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2019

Website LinkedIn