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PlaidPlaidSan Francisco, CA

Senior Software Engineer - Data Infrastructure

Builds and scales data infrastructure including warehouses, lakehouses, Spark pipelines, streaming, and orchestration to enable data-driven decisions and ML at Plaid. Requires 5+ years experience in data platforms, strong system design, and leadership.

191k – 287k/yr
Hybrid5+ YOEData Engineering

About the role

Responsibilities

  • Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid.
  • Lead key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities.
  • Work with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid.
  • Debug, troubleshoot, and reduce operational burden for our Data Platform.
  • Grow the team via mentorship and leadership, reviewing technical documents and code changes.

Qualifications

  • 5+ years of software engineering experience.
  • Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies.
  • Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration.
  • Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively.
  • Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions.
  • Demonstrated leadership abilities, including experience mentoring and guiding junior engineers.

Nice to Have

  • Experience with Databricks, Airflow, AWS EMR.

Skills

SparkData WarehouseData LakehouseStreaming InfrastructureWorkflow OrchestrationDatabricksAirflowAws EmrML InfrastructureETLFeature StoresTraining Infrastructure
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