Director, Data Engineering

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🔥 1 minute ago

🦌 Connecticut, New Jersey, +3 more states – Remote

🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🍑 Georgia – Remote

💵 $168.6k - $191.8k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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Voya Financial

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1998

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Voya Financial is a leading financial services company that provides a wide range of retirement, investment, and insurance products to help individuals, families, and institutions plan, invest, and protect their future. With a focus on retirement savings and workplace benefits, Voya connects benefits and savings to simplify financial experiences and enhance financial security. The company is committed to making a positive difference by serving others through its unique culture, and has been recognized for its values and customer-centric approach. Voya also engages in initiatives like the Voya Behavioral Finance Institute for Innovation to further its mission of transforming financial care in the workplace.

📋 Description

• 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

• 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

• 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

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