Data Infrastructure Architect — Real-Time Analytics & Scale

fable social; San Francisco (CA); On-site; USD 160,000 - 225,000; Full time

Benefits offered by this job

Competitive salary + equity

Health, dental, vision coverage

Flexible PTO

Job summary

fable social, located in San Francisco, is seeking a Data Infrastructure Engineer to design and build the architecture of our data platform. You will develop systems that power internal analytics and machine learning workflows and collaborate across teams to enhance our data foundation.

The ideal candidate has 3-7+ years of experience in data infrastructure and cloud platforms. We offer a competitive salary, equity, and comprehensive health benefits, fostering an environment of high ownership.

Qualifications

• 3–7+ years of experience in data infrastructure, infrastructure, or platform engineering.
• Strong understanding of real-time and batch data processing systems.
• Experience designing for scalability, reliability, and observability.

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure.
• Develop batch and streaming systems for ingesting and processing large-scale data.
• Ensure data quality, observability, and reliability across pipelines.

Skills

data infrastructure

real-time processing

batch data processing

cloud platforms

data modeling

Tools

Spark

Kafka

dbt

Airflow

Job description

fable social, located in San Francisco, is seeking a Data Infrastructure Engineer to design and build the architecture of our data platform. You will develop systems that power internal analytics and machine learning workflows and collaborate across teams to enhance our data foundation.

The ideal candidate has 3-7+ years of experience in data infrastructure and cloud platforms. We offer a competitive salary, equity, and comprehensive health benefits, fostering an environment of high ownership.