Instacart04/04/2026
Старший инженер-программист, Data Governance & Foundations
Salary not specified
MARKET
15,667 ₽median for this role
Data Engineer · 11 jobs with disclosed pay
10,833half of the offers: 14,166–16,81220,833
The employer didn't disclose pay — compare with the market yourself.
United States - Remote
Responsibilities
- 01Translate Instacart’s data strategy into an actionable multi-year architecture roadmap
- 02Own the open lakehouse foundation: define and deliver unified table formats, storage governance, and a multi-engine compute portfolio
- 03Drive real-time and streaming infrastructure for critical use cases (Ads, Fraud, ML): set deployment patterns, SLAs, and operational practices
- 04Pioneer AI-native data infrastructure engineering by applying LLM/AI tools to the platform lifecycle
- 05Elevate engineering excellence: lead architecture reviews, mentor senior/staff engineers, influence hiring, and clearly communicate complex trade-offs
Requirements
- 0110+ years of software engineering experience building and operating data infrastructure or distributed systems at production scale
- 02Hands-on expertise with modern data lakehouse architectures and open table formats (e.g., Apache Iceberg, Delta Lake, Hudi)
- 03Hands-on expertise with distributed query/compute engines (e.g., Trino, Spark, ClickHouse), including performance tuning and production reliability
- 04Experience with event-driven and streaming infrastructure (e.g., Kafka, Flink) for real-time pipelines and serving systems
- 05Proven ownership of major platform transitions or migrations (build vs. buy, migration design, risk management) delivered to production
- 06Ability 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
- 07Experience designing platform-level governance controls and familiarity with compliance frameworks (e.g., SOX, CPRA, GDPR)
- 08FinOps experience optimizing data platform spend, including managing multi-million dollar infrastructure budgets and negotiating vendor contracts
- 09Deep SQL proficiency and strong skills in Python or Scala for systems-level development
- 10Experience with orchestration (e.g., Apache Airflow) and data transformation pipelines (e.g., dbt) in large-scale production environments
- 11Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
What we offer
- 01Flex First remote work policy
- 02Highly market-competitive compensation and benefits
- 03Base pay range dependent on permanent work location
- 04Role is remote
- 05Eligible for a new hire equity grant as well as annual refresh grants