Senior Software Engineer, Data Platform

Persona

Senior Engineer building data infrastructure for Persona's identity platform. Design and operate systems for massive scale data movement and storage.

Posted 6/30/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $190,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and scaling data lakes, developing high-throughput data-movement services, and operating low-latency serving layers for real-time data access. Proficient in Python and experienced with big-data technologies, ensuring efficient data pipeline operations and performance optimization.

Highest-signal resume keywords

Python ProficiencyBig-Data TechnologiesData Pipeline DevelopmentDistributed Systems FundamentalsInfrastructure Project Leadership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonSparkKafkaFlinkData Pipeline DevelopmentDistributed SystemsPerformance OptimizationStorage SolutionsClickHouseDuckDB

Soft Skills

Mentoring Engineers

Tools & Technologies

Google Cloud (GCP)KubernetesMySQLMongoDBSnowflake

Industry Keywords

Data LakeStreaming TechnologiesBatch IngestionReal-Time Data AccessInfrastructure Projects

Tech Stack

Tools & technologies

CloudDistributed SystemsGoogle Cloud PlatformKafkaKubernetesMongoDBMySQLPythonSpark

About the role

Key responsibilities & impact

Build and scale our datalake
Develop high-throughput data-movement and ingestion services
Own streaming and batch ingestion
Build new query and analytics capabilities directly on the datalake
Operate the low-latency serving layer for real-time access to platform data
Partner with infrastructure and product teams to provision, secure, and scale the platform

Requirements

What you’ll need

5+ years of experience in software engineering
Proficiency in Python
Hands-on experience with big-data or streaming technologies such as Spark, Kafka, or Flink
Experience building and operating scalable data pipelines
A track record of leading complex, multi-quarter infrastructure projects
Experience mentoring engineers
Strong fundamentals in distributed systems, storage, and performance/cost optimization
Nice to have: ClickHouse, DuckDB, Google Cloud (GCP), Kubernetes, MySQL, MongoDB, Snowflake

Benefits

Comp & perks

medical, dental, and vision
3% 401(k) contribution
unlimited PTO
quarterly mental health days
family planning benefits
professional development stipend
wellness benefits
private medical insurance
6% employer pension contribution
monthly wellness stipend
co-working stipend