Lead Data Engineer
Location
United States
Posted
10 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
T. Rowe Price is seeking an experienced Lead Data Engineer to guide the development and deployment of Enterprise data solutions that drives transformation enabling new business capabilities driving growth, tangible operational efficiency, and superior client experiences. The successful candidate will be a hands-on leader with deep technical skills, who can drive best practices and innovation in a collaborative, purpose-driven environment.
- Lead the design, development, and maintenance of Enterprise data platform and solutions, analytics capabilities including modernizing data supply chain, integrating advanced data governance capabilities and data distribution patterns.
- Collaborate with data engineers, business partners, product owners, and other stakeholders to understand business requirements and develop them into robust enterprise data solutions.
- Modernize legacy ETL capability to data supply chain solution integrating with Enterprise data platform to provide scalability.
- Modernize legacy data quality, data governance capabilities to innovative enterprise capabilities that can scale.
- Champion data governance, security, and regulatory compliance, ensuring alignment with T. Rowe Price’s standards and industry best practices.
- Mentor and develop junior engineers, fostering a culture of innovation, diversity, and continuous improvement.
- Lead offshore team effectively to ensure delivery success aligning to business & strategic objectives.
- Evaluate and implement emerging technologies, frameworks, and tools to advance T. Rowe Price’s data and AI capabilities.
- Troubleshoot and optimize data solutions and platform performance, ensuring scalability and resilience.
- Document system architectures, processes, and best practices for technical and non-technical stakeholders.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
- 8+ years of professional experience in data engineering, AI, or machine learning roles.
- Strong proficiency in Snowflake tech, DBT, Airflow, Python, Java.
- Experience with cloud data platforms (AWS, Snowflake), preferably within a regulated industry.
- Solid understanding of Agile methodologies and DevOps practices.
- Excellent communication, collaboration, and leadership skills.
- Knowledge of data privacy, compliance (e.g., GDPR), and industry regulations relevant to financial services.
- Experience in the asset management or financial services industry.
- Familiarity with CI/CD pipelines, and model lifecycle management.
Requirements
- Industry certifications in cloud or data engineering technologies.
- Knowledge of data privacy, compliance (e.g., GDPR), and industry regulations relevant to financial services.
Benefits
- Competitive compensation
- Annual bonus eligibility
- A generous retirement plan
- Hybrid work schedule
- Health and wellness benefits, including online therapy
- Paid time off for vacation, illness, medical appointments, and volunteering days
- Family care resources, including fertility and adoption benefits
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
- 8+ years of professional experience in data engineering, AI, or machine learning roles.
- Strong proficiency in Snowflake tech, DBT, Airflow, Python, Java.
- Experience with cloud data platforms (AWS, Snowflake), preferably within a regulated industry.
- Solid understanding of Agile methodologies and DevOps practices.
- Excellent communication, collaboration, and leadership skills.
- Knowledge of data privacy, compliance (e.g., GDPR), and industry regulations relevant to financial services.
- Experience in the asset management or financial services industry.
- Familiarity with CI/CD pipelines, and model lifecycle management.
- Industry certifications in cloud or data engineering technologies.
Benefits
- Competitive compensation
- Annual bonus eligibility
- A generous retirement plan
- Hybrid work schedule
- Health and wellness benefits, including online therapy
- Paid time off for vacation, illness, medical appointments, and volunteering days
- Family care resources, including fertility and adoption benefits
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