Senior Software Engineer, Data Governance – Foundations

🕒 il y a 8 jours

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Instacart

Instacart

1001 - 5000 employés

Fondée en 2012

🛍️ eCommerce

🚗 Transport

🛒 Commerce de détail

💰 €232 000 000 Venture Round en 2021-11

eCommerce • Transport • Retail

Instacart est une entreprise qui propose une approche flexible du travail tout en transformant l'industrie de l'épicerie. Elle fournit un service essentiel en livrant des produits d'épicerie et des articles ménagers directement à la porte des clients en aussi peu que 30 minutes. Instacart offre des opportunités de revenus sûres et flexibles aux acheteurs personnels et relève des défis tels que le réacheminement des livraisons pendant les tempêtes de neige et la connexion des clients avec des coupons et des offres. Elle vise à être le système d'exploitation de l'industrie de l'épicerie, aidant ainsi les clients à gagner du temps pour d'autres activités. Instacart met l'accent sur la diversité, l'équité et l'appartenance dans sa culture de travail.

Description

• Define and drive multi-year architecture roadmaps for large-scale data ingestion and processing infrastructure, setting technical direction that balances reliability, scalability, and cost. • Own end-to-end platform initiatives — from build vs. buy decisions and migration design through production rollout and risk management — across Kafka-based streaming and Postgres-based systems. • Partner with vendors (Snowflake, Databricks, Confluent) on technical integration, contract evaluation, and TCO modeling to inform infrastructure investment decisions. • Collaborate with various teams to embed governance and compliance controls (SOX, CPRA, GDPR) directly into platform architecture and data lifecycle management. • Optimize infrastructure spend at scale: identify cost reduction opportunities across compute, storage, and pipeline efficiency; manage multi-million dollar infrastructure budgets. • Write compelling architecture documents, strategy memos, and proposals that drive alignment with engineering leadership and senior stakeholders across the organization. • Mentor engineers on the team, model strong engineering culture, and help grow a high-performing data infrastructure organization. • Collaborate with Data Science, ML Platform, Ads Infrastructure, Finance Engineering, and Product teams to ensure the platform meets evolving needs.

🎯 Exigences

• 5+ years of software engineering focused on data infrastructure or distributed systems at scale, in a high-growth, data-intensive environment. • Experience in modern data lakehouse architectures and open table formats — Apache Iceberg, Delta Lake, Hudi — with strong understanding of compute/storage trade-offs. • Hands-on experience with distributed query and compute systems (Trino, Spark, ClickHouse) including performance tuning and production reliability work. • Proven depth in event-driven infrastructure: Kafka for high-throughput data ingestion and Flink (or equivalent) for stream processing at scale. • Track record owning and executing major platform transitions, including migration design, phased rollout, and risk management under production constraints. • Experience building business cases for infrastructure investments: cost-benefit analysis, TCO modeling, and presenting recommendations to leadership. • Exceptional written technical communication — clear architecture docs, strategy memos, and cross-team proposals that drive decisions and alignment. • Strong ownership and comfort operating in ambiguity; ability to drive large, multi-team initiatives from concept to production with organizational influence.

🏖️ Avantages

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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