Apply on Employer Site

iPipeline · 15 hours ago

Manager, Data Engineering

US-PA-Wayne

Full-time

Hybrid

Mid, Senior Level

iPipeline is a global market leader in providing innovative software solutions for the life insurance and financial services industries. The Manager of Data Engineering will oversee teams responsible for delivering scalable and reliable data platforms, ensuring timely delivery and alignment with organizational data strategies while fostering a collaborative team culture.

Financial ServicesInsuranceSoftware

H1B Sponsor Likely

Responsibilities

Translate organizational data strategy into execution plans; contribute to roadmap development and manage team-level priorities and budgets

Ensure timely delivery of data lakes, warehouses, and streaming solutions that meet performance, security, and reliability standards

Hire, coach, mentor, and develop data engineering teams; foster a collaborative and data-driven team culture

Ensure consistent application of data governance, quality, and security frameworks across owned teams

Partner with product managers, analytics leaders, and business stakeholders to align requirements and manage expectations

Evaluate new tools and techniques within team scope and recommend improvements to platforms and processes

Ensure operational stability of owned platforms; oversee incident response and remediation

Manage team-level budgets and cloud usage; support vendor interactions

Track KPIs related to delivery, reliability, and quality; manage risks within assigned scope

Working knowledge of analytical data modeling techniques (e.g., dimensional, domain-oriented models) and how data structures support reporting, analytics, and downstream data consumers

Strong understanding of modern data lake and warehouse architectures, ETL/ELT pipelines, and cloud-based data platforms

Experience designing, building, or operating data solutions in a public cloud environment (e.g., AWS, Azure, GCP), with awareness of scalability, security, and cost considerations

Experience with large-scale data pipelines and workflow orchestration in production environments

Working knowledge of data quality, security, and governance practices and how they are applied within engineering teams

Experience supporting production data systems, including monitoring, incident response, and issue resolution

Strong communication and collaboration skills, with experience working with product managers, analytics teams, and business stakeholders

Demonstrated experience managing and developing data engineering teams, including hiring, performance management, coaching, and fostering a collaborative and inclusive team culture

Ability to lead team-level change initiatives and support adoption of new tools, processes, and standards

Qualification

Data Engineering FoundationsCloud PlatformsData ModelingPipelines & OrchestrationData Governance & QualityPeople LeadershipCollaboration & CommunicationChange Management

Required

Manages one or more teams responsible for delivering scalable, secure, and reliable data platforms and pipelines that enable analytics and AI solutions

Balances people leadership, delivery accountability, and technical decision-making within an established data strategy