Senior Software Engineer – Data Platform
San Francisco, CA (Hybrid 2 days on-site)
This is a hybrid position. Candidates considered for this role will be located in San Francisco, CA.
Job Overview
Our client is a mission-driven, global technology platform focused on connecting individuals, communities, and organizations at scale. The platform enables real-time interactions, trusted transactions, and data-driven decision-making across a rapidly growing ecosystem.
We are seeking a Senior Software Engineer – Data Platform to join a high-impact Data Engineering team responsible for building and scaling a next-generation, cloud-native data platform. This role will focus on developing event-driven, distributed systems that power analytics, operational workflows, and AI-driven use cases across the organization.
You will play a key role in designing foundational systems such as Master Data Management (MDM) and evolving a modern event-driven architecture, enabling scalable, reliable, and high-performance data solutions.
This is a hands-on, high-impact engineering role with strong influence on system design, architecture, and platform evolution.
This is a hybrid position based in Buenos Aires, Argentina.
The Role
- Build and scale core services for an event-driven, source-of-truth data platform on AWS
- Design and develop Kafka-based streaming pipelines, event producers, and consumers
- Architect systems where event streams serve as the system of record, enabling replay, recovery, and state reconstruction
- Define and implement patterns for idempotency, ordering, retries, and dead-letter queues (DLQs)
- Design for auditability, replayability, and fault recovery using scalable storage solutions (e.g., S3 with Iceberg-style architectures)
- Develop APIs and read-optimized data models (projections) to support downstream applications and services
- Build and evolve highly scalable, reliable distributed systems, balancing consistency, latency, and cost
- Establish and promote best practices for event-driven architecture and data modeling
- Develop and orchestrate streaming and ELT pipelines across databases, APIs, and event streams
- Contribute to data warehouse integrations (e.g., Snowflake or similar) and downstream data activation use cases
- Integrate AI/LLM capabilities into data workflows and internal data products
- Monitor, optimize, and improve system performance, cost efficiency, and reliability
- Collaborate cross-functionally with engineering, data, and product teams to deliver scalable solutions
Required Qualifications
- 7+ years of experience in backend engineering or data engineering
- Strong programming skills in Java, Kotlin, Python, or Go
- Solid understanding of distributed systems and system design principles
- Hands-on experience with Kafka or similar event streaming platforms
- Deep understanding of:
- Event-driven architecture and system design
- Topic design, partitioning, and consumer group management
- Idempotency, ordering guarantees, and delivery semantics
- Replay, backfills, and failure recovery strategies
- Experience designing systems where event streams drive state and downstream projections
- Strong experience with AWS (e.g., MSK, S3, or equivalent services)
- Working knowledge of modern data warehouses (e.g., Snowflake or similar)
- Strong SQL skills and experience building ELT and streaming data pipelines
- Experience with relational databases such as PostgreSQL or MySQL
- Strong data modeling and performance optimization skills
- Ability to design systems from scratch and evolve them over time
- Familiarity with AI/LLM concepts (e.g., embeddings, RAG, prompt design)
- Strong ownership mindset with the ability to deliver end-to-end solutions
Preferred Qualifications
- Experience with Apache Iceberg or similar lakehouse technologies
- Familiarity with stream processing frameworks (e.g., Flink)
- Experience with Change Data Capture (CDC) tools (e.g., Debezium)
- Exposure to modern data stack tools (e.g., dbt, Reverse ETL platforms)
- Experience with infrastructure as code (e.g., Terraform) and container orchestration (e.g., Kubernetes/EKS)
- Experience with Master Data Management (MDM), identity systems, or data governance frameworks
- Familiarity with vector databases or AI-powered data systems
Why You'll Love This Opportunity
- High Impact: Build foundational systems that power analytics, operations, and AI at scale
- Cutting-Edge Technology: Work with modern event-driven architectures, streaming systems, and AI-enabled platforms
- Collaborative Culture: Partner with talented teams across engineering, data, and product
- Growth Opportunities: Expand your expertise in distributed systems, data platforms, and emerging technologies
- Competitive Compensation & Benefits: Attractive salary and comprehensive benefits package
- Flexible Work Model: Hybrid environment supporting work-life balance
What Sets This Role Apart
This is a unique opportunity to help build a modern, event-driven data platform from the ground up, shaping how data flows, scales, and powers critical business and AI-driven capabilities. You will work at the forefront of distributed systems, real-time data processing, and next-generation data architecture, with the ability to influence both technical direction and long-term platform strategy.