Manager, Data Platform

Job not on LinkedIn

🔥 0 minutes ago

🍂 Massachusetts – Remote

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💵 $140k - $220k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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ZoomInfo

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

• Define and evolve the vision, roadmap, and technical strategy for the data platform • Own architectural decisions across ingestion, transformation, orchestration, storage, serving, governance, and observability • Establish engineering standards and patterns for pipelines, data contracts, infrastructure, and deployment • Evaluate technologies, vendors, and architectural approaches with stakeholders • Remain hands-on in critical technical initiatives, architecture reviews, prototyping, and complex troubleshooting • Manage, mentor, and develop a team of data platform engineers • Set expectations for technical execution, ownership, collaboration, and operational excellence • Support career growth through feedback, coaching, and performance management • Participate in hiring, onboarding, interviewing, and team capacity planning • Partner with leadership on team structure, priorities, and long-term capability needs • Oversee reliable, scalable data pipelines and workflows • Establish SLOs, data quality standards, monitoring, alerting, and incident response practices • Drive platform migrations and modernization with incremental delivery and risk reduction • Reduce operational toil through automation, self-service capabilities, and standardized infrastructure • Establish access controls, data protection mechanisms, and security practices for sensitive data • Define and promote data contracts and ownership boundaries • Improve data discoverability, lineage, and trust • Ensure secure access for analytics, machine learning, and AI workloads • Partner with application engineering, analytics engineering, data science, product, security, and infrastructure teams • Translate stakeholder needs into technical requirements and prioritized initiatives • Communicate architectural decisions, tradeoffs, and progress to technical and non-technical audiences

🎯 Requirements

• 8+ years of experience in data engineering, data platforms, or data architecture • 2+ years of experience managing, mentoring, or leading data engineering teams • Demonstrated experience designing and operating production-grade data platforms and cloud architectures • Strong experience with data orchestration, transformation frameworks, and pipeline development • Strong understanding of data security, access controls, governance, and data contracts • Proven ability to balance hands-on technical contribution with people leadership • Excellent written and verbal communication skills • Preferred: Experience with AWS services (Redshift, S3, IAM, EKS, Glue, ECR, DMS) • Preferred: Experience with Python, SQL, Airflow, dbt, and Infrastructure as Code (IaC) • Preferred: Experience supporting machine learning platforms, LLM/AI access, or production ML services • Preferred: Experience building or managing data contracts, semantic layers, or data interfaces

🏖️ Benefits

• Comprehensive benefits • Holistic mind, body and lifestyle programs designed for overall well-being • Additional compensation such as Bonus, Commission, Equity and other benefits may also apply

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