Note: The job is a remote job and is open to candidates in USA. ZoomInfo is a Go-To-Market Intelligence Platform that empowers businesses with AI-ready insights, trusted data, and automation. The Manager, Data Platform will lead the strategy, architecture, and execution of an enterprise data platform while managing and developing data platform engineers. The role oversees platform reliability, governance, security, operations, and cross-functional technical planning.
Responsibilities
- 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 in partnership 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 clear expectations around technical execution, ownership, collaboration, and operational excellence
- Support career growth through regular feedback, coaching, and performance management
- Participate in hiring, onboarding, interviewing, and team capacity planning
- Partner with leadership to define team structure, priorities, and long-term capability needs
- Oversee the development and maintenance of reliable, scalable data pipelines and workflows
- Establish service-level objectives (SLOs), data quality standards, monitoring, alerting, and incident response practices
- Drive platform migrations and modernization efforts with a focus on incremental delivery and risk reduction
- Reduce operational toil through automation, self-service capabilities, and standardized infrastructure
- Establish appropriate access controls, data protection mechanisms, and security practices for sensitive data
- Define and promote data contracts and clear ownership boundaries between source systems, data platforms, and downstream consumers
- Improve data discoverability, lineage, and trust across the organization
- Ensure platform architecture supports 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 clear technical requirements and prioritized initiatives
- Communicate architectural decisions, tradeoffs, and progress to both technical and non-technical audiences
Skills
- 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
- Experience with AWS services (Redshift, S3, IAM, EKS, Glue, ECR, DMS)
- Experience with Python, SQL, Airflow, dbt, and Infrastructure as Code (IaC)
- Experience supporting machine learning platforms, LLM/AI access, or production ML services
- 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
- Bonus
- Commission
- Equity
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