Director, Data Engineering

Location: Remote from Connecticut, New Jersey, New York, Georgia, or Massachusetts, United States. East Coast location or Eastern Time working-hour alignment is strongly preferred.

Annual base salary: $168,550–$191,850, plus potential incentive compensation.

Company

hirify.global provides financial and wealth-management services focused on helping individuals and communities achieve better financial outcomes.

What you will do

• Lead four data-engineering teams supporting retirement and retail wealth capabilities, including technical leads and a distributed engineering organization.
• Provide hands-on leadership across data architecture, solution design, implementation, code review, and engineering quality.
• Guide the development and operation of end-to-end data pipelines, particularly with Databricks and modern data-engineering practices.
• Establish standards for data quality, error handling, monitoring, observability, and reliable pipeline development across domains.
• Partner with data leaders, product teams, internal customers, technology partners, and business stakeholders to deliver effective data solutions.
• Support critical production incidents, lead root-cause and resolution planning, mentor technical talent, and advance automation and AI-assisted development.

Requirements

• Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Significant professional experience in data engineering with 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, 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, reliable pipeline engineering, technical architecture, and solution design.
• Experience providing technical leadership during significant production incidents and collaborating across engineering, technical, and business stakeholders.

Nice to have

• Direct experience with Databricks and Spark.
• Experience with API and integration concepts in enterprise data architectures.
• Experience leading globally distributed or offshore engineering teams and establishing standards across multiple teams or domains.
• Experience with Azure, AWS, or Google Cloud Platform data services.
• Familiarity with automated data-quality frameworks and mature CI/CD practices.
• Experience in financial services, retirement, wealth management, or investment-related data environments.
• Familiarity with AI-assisted development, pipeline automation, anomaly detection, or automated data-quality monitoring.

Culture & Benefits

• Remote work-from-home arrangement, with a strong preference for East Coast location or Eastern Time alignment.
• Health, dental, vision, and life insurance plans.
• 401(k) savings plan with company matching contributions of up to 6% and an employer-paid cash-balance retirement plan.
• 20 days of paid time off, nine paid company holidays, a flexible Diversity Celebration Day, and 40 hours of paid volunteer time annually.
• Tuition reimbursement of up to $5,250 per year.