Director, Data Engineering at Voya Financial | CT, US | Rezi

Director, Data Engineering at Voya Financial

Director, Data Engineering

Voya Financial · CT, US

Today

Director, Data Engineering

Voya Financial · CT, US

12 hours ago
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About the Role

Voya Financial is seeking a Director of Data Engineering to provide hands-on technical leadership for multiple data-engineering teams supporting our Wealth business. This leader will combine people leadership with deep technical judgment, helping teams make sound architecture, solution-design, and data-engineering decisions while delivering reliable end-to-end data pipelines.

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.

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.
  • 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.

Skills

  • Customer Focused
  • Critical Thinking
  • Team Mentality
  • Business Acumen
  • Learning Agility
  • Databricks
  • Spark
  • Python
  • SQL

Location

  • Remote

Work Type

  • Remote

Experience Level

  • Director
  • Senior

Education Level

  • Bachelor's degree
  • Master's degree

Salary/Compensations

  • $168,550 - $191,850

Benefits

  • Health, dental, vision and life insurance plans
  • 401(k) Savings plan – with generous company matching contributions (up to 6%)
  • Voya Retirement Plan – employer paid cash balance retirement plan (4%)
  • Tuition reimbursement up to $5,250/year
  • Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
  • Paid volunteer time — 40 hours per calendar year

About the Company

  • Together we fight for everyone’s opportunity for a better financial future.
  • We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work.
  • Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Equal Opportunity

  • Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.
  • Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.