Staff Software Engineer, Data Governance & Foundations

Instacart is transforming the grocery industry by providing essential services for grocery delivery. They are seeking a Staff Software Engineer to lead the architecture and delivery of their data governance and foundations, focusing on building a robust data infrastructure that supports the company's evolving needs.

Responsibilities:

• Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency
• Own the open lakehouse foundation: define and deliver unified table formats, storage governance, and a multi-engine compute portfolio (interactive, batch, streaming) that enables portability and prevents lock-in
• Drive real-time and streaming infrastructure for critical use cases (Ads, Fraud, ML): set deployment patterns, SLAs, and operational practices that balance performance, availability, and spend
• Pioneer AI-native data infrastructure engineering by applying LLM/AI tools to the platform lifecycle—accelerating development, automation, observability, and cost optimization—and partnering to embed AI-powered capabilities into the platform
• Elevate engineering excellence: lead architecture reviews, mentor senior/staff engineers, influence hiring, and clearly communicate complex trade-offs to both technical and executive audiences to ensure cross-org alignment

Requirements:

• 10+ years of software engineering experience building and operating data infrastructure or distributed systems at production scale
• Hands-on expertise with modern data lakehouse architectures and open table formats (e.g., Apache Iceberg, Delta Lake, Hudi) and with distributed query/compute engines (e.g., Trino, Spark, ClickHouse), including performance tuning and production reliability
• Experience with event-driven and streaming infrastructure (e.g., Kafka, Flink) for real-time pipelines and serving systems
• Proven ownership of major platform transitions or migrations (build vs. buy, migration design, risk management) delivered to production
• Ability to build cost/benefit and TCO models for infrastructure investments and to drive alignment via clear architecture docs and strategy memos across multiple teams and leadership levels
• Experience designing platform-level governance controls and familiarity with compliance frameworks (e.g., SOX, CPRA, GDPR)
• FinOps experience optimizing data platform spend, including managing multi-million dollar infrastructure budgets and negotiating vendor contracts
• Deep SQL proficiency and strong skills in Python or Scala for systems-level development
• Experience with orchestration (e.g., Apache Airflow) and data transformation pipelines (e.g., dbt) in large-scale production environments
• Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience