Director, Data Engineering

Voya Financial • New York, MA

3d • $168,550 - $191,850 • Remote

About The Position

Voya Financial is seeking a Director of Data Engineering to provide hands-on technical leadership for multiple data-engineering teams supporting its Wealth business, including retirement and retail wealth capabilities. The role combines people leadership with deep technical judgment, guiding architecture, solution design, and data-engineering decisions while teams deliver reliable end-to-end data pipelines.

The director will lead engineering teams and technical leads, review designs and code, establish engineering practices, and collaborate with other data leaders on standards and initiatives across business domains. The role supports remote work from home. An East Coast location or alignment with Eastern Time working hours is strongly preferred to support the team’s collaboration model.

Requirements

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

Nice To Haves

• 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.

Responsibilities

• Lead four data-engineering teams supporting the Wealth domain, including 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, constructively challenge engineering decisions, 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 spanning 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 through problem assessment, root-cause analysis, and resolution planning when leadership and technical expertise are needed.
• Develop technical talent through coaching, mentoring, feedback, and thoughtful leadership.
• Advance modern engineering practices, including appropriate use of automation and AI-assisted development capabilities.

Benefits

• Health, dental, vision, and life insurance plans.
• 401(k) savings plan with company matching contributions up to 6%.
• Employer-paid Voya Retirement Plan cash-balance benefit (4%).
• Tuition reimbursement up to $5,250 per year.
• Paid time off, including 20 days of PTO, nine paid company holidays, and a flexible Diversity Celebration Day.
• Paid volunteer time: 40 hours per calendar year.
• Incentive opportunities, which may include annual cash incentives, sales incentives, and/or long-term incentives, based on role and achievement of annual performance objectives.

What This Job Offers

• Job Type: Full-time
• Career Level: Director