Director, Data Engineering

Voya Financial, Inc.; Newark (NJ); Remote; USD 169,000 - 192,000; Full time

Benefits offered by this job

Health insurance

401(k) savings plan

Tuition reimbursement

Job summary

Voya Financial, Inc. is seeking a Director of Data Engineering to provide hands-on technical leadership for multiple data-engineering teams across the Wealth domain. The role blends people leadership with deep architecture and pipeline design, delivering reliable end-to-end data solutions.

The candidate will review designs, guide engineers, and align standards across domains while advancing modern practices and automation. Remote work is allowed with East Coast time alignment preferred.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Extensive data engineering experience including leadership roles.
• 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 platform.
• Ability to read and understand Python or similar data-engineering code.
• Strong understanding of data quality, observability, and reliable pipeline practices.
• 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 stakeholders.

Responsibilities

• Lead four data-engineering teams supporting the Wealth domain and provide leadership to technical leads.
• Provide hands-on technical leadership across architecture, solution design, implementation and quality.
• Review designs and code, challenge engineering decisions, and help implement scalable solutions.
• Guide end-to-end data pipelines with focus on Databricks and modern practices.
• Establish engineering standards for data quality, error handling, monitoring, and reliability.
• Partner with peer data-engineering directors to maintain cross-domain standards.
• Lead initiatives spanning multiple teams and business domains.
• Collaborate with internal customers, product teams and partners to translate business needs.
• Support critical production incidents with root-cause analysis and remediation plans.
• Develop technical talent through coaching and feedback.
• Advance automation and AI-assisted development capabilities.

Skills

Leadership

Communication

Team coordination

Data engineering

Problem solving

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field

Tools

Databricks

Python

SQL

Relational databases

Job description

Together we fight for everyone’s opportunity for a better financial future.

We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough ... we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. 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.

Voya Financial is seeking a Director of Data Engineering to provide hands‑on technical leadership for multiple data‑engineering teams supporting our Wealth business, including retirement and retail wealth capabilities. 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.

This is an opportunity for an experienced data‑engineering leader who still enjoys working in the technical details. You will guide engineering teams and technical leads, review designs and code, establish strong engineering practices, and collaborate with fellow data leaders on standards and initiatives that span multiple business domains.

Please note: This position allows remote work from home. East Coast location or Eastern Time working‑hour alignment is strongly preferred based on the team’s collaboration model.

The Contributions You’ll Make

• 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.

Minimum Knowledge & Experience

• 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.

Preferred Knowledge & Experience

• 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.

Compensation Pay Disclosure

Voya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities.

The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long‑term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

$168,550 - $191,850

Be Well. Stay Well.

Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That’s why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

What We Offer

• 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

Learn More About Voya Benefits (download PDF)

Critical Skills

• Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
• Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well‑reasoned solution.
• Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
• Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
• Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Learn More About Critical Skills

Equal Employment 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.

Reasonable Accommodations

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.

Misuse of Voya's name in fraud schemes