Senior Software Engineer, Data Governance – Foundations

🕒 6 dias atrás

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Instacart

Instacart

1001 - 5000 funcionários

Fundada em 2012

🛍️ Comércio Eletrônico

🚗 Transporte

🛒 Varejo

💰 $232.000.000 Venture Round em 2021-11

eCommerce • Transport • Retail

A Instacart é uma empresa que oferece uma abordagem flexível de trabalho enquanto transforma o setor de supermercados. Ela presta um serviço essencial ao entregar compras de supermercado e itens para a casa na porta dos clientes em até 30 minutos. A Instacart oferece oportunidades de ganho seguras e flexíveis para personal shoppers e enfrenta desafios como redirecionar entregas durante nevascas e conectar clientes a cupons e promoções. Seu objetivo é ser o sistema operacional do setor de supermercados, ajudando os clientes a economizar tempo para outras atividades. A Instacart valoriza diversidade, equidade e pertencimento em sua cultura de trabalho.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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

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