Data Platform Engineer – Scale, AI & Analytics (Remote)

Nubeero Limited; San Francisco (CA); Hybrid; USD 153,000 - 376,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

Retirement benefits with company match

Parental leave and family planning

Paid time off and holidays

Paid sick leave and wellness benefits

Job summary

Figma is seeking an experienced Data Platform Engineer to design and operate large‑scale data systems powering analytics, AI/ML, and BI. You will develop batch and streaming solutions, manage Snowflake, ML Datalake, and orchestration infra, and ensure data reliability and compliance across teams.

You will collaborate with AI researchers, data scientists, product engineers, and business stakeholders to deliver scalable, cost‑efficient data platforms while mentoring engineers and promoting best

Qualifications

• 5+ years building distributed data infrastructure at scale.
• Experience with batch and streaming data processing technologies.
• Proven track record of delivering reliable, high‑quality systems.

Responsibilities

• Design and build large‑scale distributed data systems that power analytics, AI/ML, and BI.
• Develop batch and streaming solutions to ensure data reliability and scalability.
• Manage and evolve Snowflake, ML Datalake, orchestration infra, and real‑time ingestion.
• Improve data reliability, consistency, and compliance for stakeholders.
• Identify and drive cost optimization across data processing and storage.
• Collaborate with AI researchers, data scientists, and engineers to meet needs.
• Drive technical decisions and best practices for data ingestion and storage.
• Mentor and support engineers, fostering learning and excellence.

Skills

Backend data engineering

Distributed systems

Batch and streaming

Technical communication

Mentoring engineers

Tools

Snowflake

ML Datalake

Airflow

Dagster

Spark

Flink

Kafka

dbt

Job description

Figma is seeking an experienced Data Platform Engineer to design and operate large‑scale data systems powering analytics, AI/ML, and BI. You will develop batch and streaming solutions, manage Snowflake, ML Datalake, and orchestration infra, and ensure data reliability and compliance across teams.

You will collaborate with AI researchers, data scientists, product engineers, and business stakeholders to deliver scalable, cost‑efficient data platforms while mentoring engineers and promoting best