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.
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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…