Director, Data Engineering

Voya Financial

. Lead four data-engineering teams supporting the Wealth domain .

Posted 11/7/2026full-timeRemote • United StatesLead💰 $168,550 - $191,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data-engineering teams and establishing engineering standards for data quality and pipeline reliability. Proficient in translating business needs into effective data solutions while providing hands-on technical leadership in modern data practices.

Highest-signal resume keywords

Data Engineering LeadershipSQL and Relational Database ConceptsDatabricks and Modern Data ProcessingEnd-to-End Data Pipeline DevelopmentTechnical Architecture and Solution Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQLPythonData ArchitectureEnd-to-End Data PipelinesError HandlingObservabilityAutomationAI-Assisted DevelopmentCI/CD Practices

Soft Skills

Technical LeadershipCoaching and MentoringCommunicationCollaborationProblem Assessment

Tools & Technologies

DatabricksAzureAWSGoogle Cloud PlatformAPI Integration

Industry Keywords

Financial ServicesWealth ManagementInvestment-Related DataData Quality FrameworksAnomaly Detection

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Lead four data-engineering teams supporting the Wealth domain
Provide hands-on technical leadership across architecture, solution design, implementation, and engineering quality
Review technical designs and code and challenge engineering decisions constructively
Guide development and operation of end-to-end data pipelines, focusing on Databricks and modern data-engineering practices
Establish 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
Translate business needs into effective data solutions with internal customers, product teams, technology partners, and stakeholders
Support critical production incidents through problem assessment, root-cause analysis, and resolution planning
Develop technical talent through coaching, mentoring, feedback, and thoughtful leadership
Advance modern engineering practices, including automation and AI-assisted development capabilities

Requirements

What you’ll need

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
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
Sufficient programming experience to understand and review Python or comparable data-engineering code
Strong understanding of data quality, error handling, observability, and reliable pipeline engineering practices
Experience contributing to technical architecture and solution-design decisions
Experience providing technical leadership during significant production incidents
Ability to communicate and collaborate across engineering teams and technical and business stakeholders
East Coast location or Eastern Time working-hour alignment strongly preferred
Preferred: direct experience with Databricks and Spark
Preferred: experience with API and integration concepts within enterprise data architectures
Preferred: experience leading globally distributed or offshore engineering teams
Preferred: experience establishing engineering standards across multiple teams or domains
Preferred: experience with Azure, AWS, or Google Cloud Platform
Preferred: familiarity with automated data-quality frameworks and mature CI/CD practices
Preferred: experience in financial services, retirement, wealth management, or investment-related data environments
Preferred: familiarity with AI-assisted development, pipeline automation, anomaly detection, or automated data-quality monitoring

Benefits

Comp & perks

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
20 days paid time off
Nine paid company holidays
Flexible Diversity Celebration Day
40 hours paid volunteer time per calendar year
Annual cash incentives, sales incentives, and/or long-term incentives based on the role and performance objectives