Engineers in Global Distribution Services at T. Rowe Price are playing a key role in helping build the future of financial services, working hand-in-hand with business partners to build client experiences that are changing the way people invest. We want technologists with a new perspective who are passionate about solving business, data and technical challenges. You will build groundbreaking, next-generation applications for n-tier cloud architectures. You’ll be involved, hands-on, through the entire development cycle. And you’ll redefine the way our Institutional and Intermediary business teams serve our clients.

We are working to advance the firm's next generation data distribution platform, with the aim to seamlessly deliver real-time and on-demand data and analytics. We are employing new paradigms such as cloud computing, lightweight microservices, and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services.

This is a hands-on, full development lifecycle role which provides an opportunity to tackle sophisticated business, logic, data and technical challenges. As the leader of your engineering team, you will be required to think creatively and bring groundbreaking technology in-house. We will expect you to be agile / to lead / to think outside the box. In return, we’ll give you challenging work that has an impact / opportunities to learn and grow / and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that’s how we help our clients succeed.

Are you a leader who can provide direction through large teams of professionals and through other managers? Are you able to work with executives to build and execute on key business priorities? Do you strive bring both a near and long-term perspective to your decisions? If so, we encourage you to apply.

Role summary and job responsibilities

  • Manages a development team to deliver projects which achieve target outcomes
  • You'll demonstrates exceptional hands-on capability to drive components to delivery
  • Apply people management skills to coach, mentor and develop engineers on the team
  • You'll assume ownership over the quality, TCO, maintainability and security of the solutions built by our team
  • Help design specific elements of the Global Technology technical strategy and drive its execution within your domain of responsibility.
  • You'll identify non-obvious relationships and anomalies often overlooked by others
  • Balance strategic and pragmatic concerns when solving problems
  • You'll seek to detects and overcome issues before the broader team is aware of them
  • Provide timely feedback and coaching to individuals and teams using data to reinforce learning
  • You'll be accountable for the developing and mentoring of direct reports
  • Responsible for recruitment and performance management of associates
  • Overcome differences of opinion and drive team alignment around a specific goal or solution
  • Owns technical and data debt across their development team
  • Manage vendor relationships associated with Business Intelligence Platforms and champion Centers of Excellence that drive adoption and implementation enterprise wide
  • Ensure alignment with enterprise data architecture and compliance to enterprise technology standards

Business knowledge

  • You demonstrate a deep knowledge of the asset management industry, including investment products/flows within supported businesses
  • You understand factors that drive sales and marking efforts in the asset management industry
  • Articulate broader business concerns and/or regulatory landscape, including key risks and controls (e.g., GDPR, MIFID, SOX)
  • Experience driving data strategy in terms of data governance practices, business and technology roadmap, management of enterprise information assets and approaches related to data protection
  • Working knowledge of initiatives under various data management areas such as Data Quality, Metadata Management, Master Data Management, Data modelling, BI and ML, and Data Security
  • You make decisions that are cognizant of the firm’s broader business strategy


  • BS/MS in Computer Science or another related discipline and 10+ years of progressive experience in Data Engineering, data lakes, BI and Analytics.
  • Experience building containerized applications, data pipelines and deploying to public or private clouds, such as Amazon Web Services (AWS), Microsoft Azure, or similar providers.
  • Experience with automated delivery pipelines, agile delivery and test-driven development
  • Knowledge of industry best practices building data architecture and technology solutions
  • In-depth knowledge of software design patterns
  • In-depth experience working on various OLTP, OLAP, and no-SQL databases such as Redshift, Snowflake, AWS Aurora, AWS Neptune
  • In-depth RDBMS development experience (e.g. SQL Server, PostgreSQL, MySQL)
  • Experience with delivering self-serve Business Intelligence and Machine learning platforms such as Alteryx & Tableau
  • Solid understanding of with Spark, Python, Snowflake, Snaplogic
  • Solid understanding of cloud native architectures (AWS, etc.) for containerized microservices
  • Experience working in a dynamic, fast-paced, Agile team environment
  • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business leaders
  • Confident communicator; able to argue a point concisely and deal positively with conflicting views
  • Passion for learning & results oriented
  • A solid understanding of the business-to-business (B2B) asset management industry is a plus.
  • Current with many best-of-breed technologies
  • Shows a commitment to quality by implementing suitable software using unit/integration and acceptance testing at the time of feature development
  • Debugs large components with limited assistance and assists other engineers with debugging
  • At some levels, leads code reviews and actively participates in providing feedback on others’ designs/code
  • Performs as a specialist in one or more parts of the software lifecycle (e.g., coding, testing, deployment). Coordinates significant pieces of development within the development lifecycle
  • Designs and develops practical APIs and abstractions.
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Sr Data Engineering Manager