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Voya Financial

Financial services: retirement, investments, insurance

Director of Data Engineering

Engineering LeadershipPosted on Nov 6
Full-time$168.6k - $191.8k /yr

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Engineering, Information Technology, or a related field of study is required.
  • Significant professional experience in data engineering, including progressively responsible technical and leadership experience, is required.
  • Demonstrated experience leading multiple data-engineering teams and/or technical leads is required.
  • Strong knowledge of SQL, relational database concepts, and data architecture is required.
  • Experience designing, developing, and operating modern end-to-end data pipelines is required.
  • Experience with Databricks or a comparable modern data-processing platform, with the ability to transfer knowledge between technologies, is required.
  • Sufficient programming experience to understand and review Python or comparable data-engineering code is required.
  • Strong understanding of data quality, error handling, observability, and engineering practices that support reliable pipelines is required.
  • Experience contributing to technical architecture and solution-design decisions is required.
  • Experience providing technical leadership during significant production incidents is required.
  • Demonstrated ability to communicate and collaborate across engineering teams and technical and business stakeholders is required.

Responsibilities

  • Lead four data-engineering teams supporting the Wealth domain, providing leadership to technical leads and a distributed engineering organization.
  • Provide hands-on technical leadership across architecture, solution design, implementation, and engineering quality.
  • Review technical designs and code, challenge engineering decisions constructively, and help teams implement scalable, maintainable solutions.
  • Guide the development and operation of end-to-end data pipelines, with a strong focus on Databricks and modern data-engineering practices.
  • Establish and reinforce engineering standards for data quality, error handling, monitoring, and reliable pipeline development.
  • Partner with peer data-engineering directors to establish consistent standards, practices, and procedures across data domains.
  • Lead and coordinate initiatives that span engineering teams and business domains.
  • Partner with internal customers, product teams, technology partners, and other stakeholders to translate business needs into effective data solutions.
  • Support critical production incidents when leadership and technical expertise are needed, including problem assessment, root-cause analysis, and resolution planning.
  • Develop technical talent through coaching, mentoring, feedback, and thoughtful leadership.
  • Advance modern engineering practices, including appropriate use of automation and AI-assisted development capabilities.

Desired Qualifications

  • Direct experience with Databricks and Spark.
  • Experience with API and integration concepts within broader enterprise data architectures.
  • Experience leading globally distributed or offshore engineering teams.
  • Experience establishing engineering standards across multiple teams or domains.
  • Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud Platform.
  • Familiarity with automated data-quality frameworks and mature CI/CD practices.
  • Experience within financial services, retirement, wealth management, or investment-related data environments.
  • Familiarity with AI-assisted development, pipeline automation, anomaly detection, or automated data-quality monitoring.

About the Company

Voya Financial

Financial services: retirement, investments, insurance

Voya Financial provides retirement planning, investment management, and insurance products for individuals, employers, and institutions, mainly in the United States. Its products help individuals save and grow wealth for retirement, while employers offer retirement plans and benefits within their workforce, and institutions receive tailored investment management. The company earns fees from investment management and premiums from insurance policies, creating recurring revenue from long-term client relationships. Voya differentiates itself by emphasizing corporate responsibility, inclusiveness, and ESG-aligned practices to attract clients and talent, rather than competing only on price or returns. Its goal is to help clients achieve financial confidence and security by offering a broad, client-centric suite of financial services to support stable, long-term financial well-being.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2014

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