Director of Software Engineering
Listed on 2026-02-08
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IT/Tech
Data Engineer, Data Science Manager -
Engineering
Data Engineer, Data Science Manager
Overview
At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.
We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.
Join us for the opportunity to grow and make a difference in ways that matter to you.
As a senior technology leader within the Data Engineering organization, the Director of Software Engineering is responsible for shaping and executing the strategy that drives our data engineering capabilities—enabling enhanced investment, risk management, and client outcomes. This role demands both a deep technical background and strong leadership skills, operating at the intersection of engineering innovation, data architecture, and business value delivery.
Responsibilities- Develop and own the technical and delivery strategy for data engineering platforms, data products, and analytics applications, ensuring alignment with the firm’s enterprise data and technology architecture.
- Lead, mentor, and retain high-performing engineering leaders, fostering a culture of excellence and accountability.
- Establish and uphold consistent engineering standards, architectural best practices, and operational rigor across teams.
- Ensure timely and reliable delivery of data pipelines, platforms, and analytics-ready data products.
- Collaborate with architecture and security teams to deliver scalable, resilient, compliant, and cost-efficient solutions.
- Serve as a key partner to investment, risk, and distribution stakeholders, translating business objectives into technical direction.
- Advocate for modern engineering practices, including agile methodologies, Dev Ops, automation, and continuous process improvement.
- Provide strategic input on vendor selection, build vs. buy decisions, and cloud cost management.
- Experienced engineering leader with credibility and presence to influence at director and executive levels.
- Effective people manager who coaches leaders, builds succession plans, and sets high standards for performance and conduct.
- Pragmatic technologist with a focus on simplicity, business value, and long-term sustainability.
- Comfortable navigating ambiguity, balancing strategic vision with hands-on problem-solving.
- Collaborative leader who can constructively challenge and inspire teams.
- Extensive experience in data and platform engineering within modern, cloud-based data environments.
- Strong understanding of lakehouse and analytical data architectures (e.g., Snowflake, Apache Iceberg, Spark, dbt, Airflow/Dagster).
- Proven track record of building and managing large-scale AWS-based data platforms.
- Solid grounding in software engineering principles: system design, data modeling, reliability, and security.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent professional experience.
- 10+ years in software and data engineering, with significant leadership responsibility over engineering teams and leaders.
- Demonstrated success managing complex delivery portfolios in regulated or mission-critical settings.
- Prior hands-on engineering experience, with the ability to engage deeply in architectural and design discussions as needed.
- Advanced degree in Computer Science, Engineering, Mathematics
- Experience with in buy-side financial services and familiarity with market…
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