Senior Software Engineer, Data Governance & Foundations
Instacart
- Location
- California · New York · Connecticut +17
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 166,000–210,000/yr
Posted 3mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Define and drive multi-year architecture roadmaps for data ingestion and processing infrastructure
- Own end-to-end platform initiatives from build vs. buy decisions to production rollout
- Partner with vendors on technical integration, contract evaluation, and TCO modeling
- Collaborate to embed governance and compliance controls into platform architecture
- Optimize infrastructure spend at scale
- Write compelling architecture documents, strategy memos, and proposals
- Mentor engineers on the team and model strong engineering culture
- Collaborate with cross-functional teams to ensure platform meets evolving needs
Requirements
- 5+ years of software engineering focused on data infrastructure or distributed systems at scale
- Experience in modern data lakehouse architectures and open table formats
- Strong understanding of compute/storage trade-offs
- Hands-on experience with distributed query and compute systems
- Proven depth in event-driven infrastructure: Kafka for high-throughput data ingestion
- Experience with Flink (or equivalent) for stream processing at scale
- Track record owning and executing major platform transitions
- Experience building business cases for infrastructure investments
- Exceptional written technical communication
- Strong ownership and comfort operating in ambiguity
Preferred
- Familiarity with data governance and compliance frameworks
- Experience designing governance controls into platform architecture
- Experience with FinOps and data platform cost optimization
- Managing large infrastructure budgets and negotiating enterprise vendor contracts
- Deep SQL expertise
- Strong proficiency in Python or Scala for systems-level work
- Experience with orchestration (Apache Airflow)
- Experience with transformation pipelines (dbt) in large-scale production environments
- Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
Skills
- Apache Iceberg
- Delta Lake
- Hudi
- Trino
- Spark
- ClickHouse
- Kafka
- Flink
- SQL
- Python
- Scala
- Apache Airflow
- dbt
- Snowflake
- Databricks
- Confluent
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