Principal Data Engineer

🕒 October 16

🇺🇸 United States – Remote

💵 $171.5k - $269.5k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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ZoomInfo

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

💰 Private Equity Round on 2014-04

Consulting • Marketing • SaaS

ZoomInfo is a leading provider of go-to-market intelligence solutions for sales and marketing professionals. The platform offers comprehensive data insights and analytics to help businesses identify target audiences, manage customer relationships, and drive revenue growth. By leveraging advanced technologies and extensive databases, ZoomInfo enables organizations to optimize their sales strategies and enhance operational efficiency.

📋 Description

• Own the technical vision and architecture for scalable, resilient, and cost-effective data platforms and pipelines • Design end-to-end batch and streaming data systems, including ingestion, transformation, modeling, storage, orchestration, serving, and consumption • Document architecture decisions and define reusable patterns for CDC, event-driven flows, schema evolution, slowly changing dimensions, data quality, and multi-tenant or domain-oriented models • Lead technical design reviews and identify and mitigate architectural risks and technical debt • Establish engineering standards for development, testing, deployment, documentation, monitoring, incident response, lifecycle management, CI/CD, and infrastructure as code • Implement standards for data contracts, schema management, lineage, observability, freshness, completeness, accuracy, and reconciliation • Champion security, privacy, access control, governance, retention, and compliance across the data lifecycle • Define SLIs, SLOs, alerting, runbooks, and post-incident learning practices • Serve as a technical authority for cross-functional data architecture, tooling, platform, and investment decisions • Evaluate build-versus-buy decisions, technologies, and vendors; maintain architecture records, reference architectures, roadmaps, and technical standards • Lead development of production-grade data pipelines, datasets, and platform capabilities • Partner with analysts, data scientists, software engineers, and product teams to deliver trustworthy data products • Drive modernization, legacy migrations, pipeline consolidation, and reduction of manual operations • Mentor data engineers, lead architecture reviews and workshops, and create reusable templates, implementations, and playbooks

🎯 Requirements

• 10+ years of experience in software engineering, data engineering, platform engineering, or a related technical discipline • 5+ years designing and operating large-scale data platforms, distributed data systems, or enterprise-grade data products • Expertise in end-to-end system design, including requirements definition, tradeoff evaluation, resilient architecture, and production delivery • Deep experience with lakehouse or warehouse platforms, batch and streaming processing, data modeling, orchestration, metadata management, and data governance • Strong proficiency in SQL and at least one general-purpose programming language, such as Python, Java, or Scala • Experience with distributed data processing frameworks and technologies such as Spark, Kafka, Flink, Snowflake, Databricks, BigQuery, or Redshift • Strong knowledge of analytical, operational, and domain-oriented data modeling • Experience establishing standards for testing, CI/CD, observability, infrastructure as code, reliability, and security • Ability to lead technical decisions across multiple teams without direct authority • Exceptional written and verbal communication skills • Experience mentoring engineers and raising technical standards across an organization

🏖️ Benefits

• Comprehensive benefits • Holistic mind, body and lifestyle programs designed for overall well-being • Additional compensation may include bonus, commission, equity and other benefits

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