Senior Software Engineer – Data Platform

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.