Forward Deployed Data Engineer

Accountabilities: • Own 1–4 concurrent data platform migration projects from scoping and planning through execution and customer handoff.

• Serve as the primary customer contact, leading regular check-ins, communicating progress, managing expectations, and escalating risks early.

• Develop a deep understanding of each customer's existing data platform, architecture, workflows, and migration requirements.

• Configure and oversee AI-powered migration tooling to plan and execute data platform transformations efficiently.

• Partner closely with engineering teams to execute migrations, troubleshoot issues, and remove technical or operational blockers.

• Take ownership of project delivery timelines, ensuring migrations are completed successfully and according to agreed objectives.

• Contribute to the continuous improvement and scaling of product capabilities, delivery processes, and migration playbooks.

Requirements:

• 3–6 years of experience in data consulting, professional services, or a customer-facing data engineering role.

• Strong understanding of the modern data stack, including dbt, Snowflake, Databricks, orchestration tools, and common data processing patterns.

• Familiarity with data engineering concepts such as stored procedures, streaming, incremental processing, and modern data platform architectures.

• Excellent communication and stakeholder management skills, with the ability to engage confidently in both executive discussions and technical design sessions.

• Strong ownership mentality, with the ability to proactively identify problems, communicate risks, drive solutions, and rally others when needed.

• High level of proficiency with AI tools and a demonstrated habit of using AI regularly to improve productivity and technical execution.

• Experience with legacy data stacks and technologies such as traditional ETL and stored procedures is a strong advantage.

• Previous experience working on data platform migration projects is highly desirable.

• Ability to manage multiple concurrent projects while maintaining strong attention to delivery quality and customer outcomes.

Benefits:

• Fully remote, full-time opportunity in Latin America.

• Competitive compensation of $65,000–$90,000 USD, depending on job level, experience, and location.

• Equity participation.

• Opportunity to work on large-scale data platform migrations powered by AI.

• Exposure to leading modern data platforms and technologies, including Databricks and Snowflake.

• High level of ownership across customer projects, technical execution, and delivery.

• Opportunity to work at the intersection of data engineering, AI, and project leadership.

• Collaborative environment with opportunities to influence product development and delivery processes.

• Opportunity to help shape and scale innovative migration methodologies and playbooks.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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