What are the responsibilities and job description for the Quantitative Research CDO Data Architect - Vice President position at JPMorgan Chase?
Are you passionate about data architecture and innovation? Join us as a Data Solutions Architect to bridge our Chief Data Office and Technology teams, designing advanced tooling to support our Markets Data Strategy. Lead the development of proof-of-concept prototypes and shape the future of our data initiatives.
As a Data Solutions Architect, you will play a crucial role in designing and promoting the adoption of advanced data tooling. You will prototype technical patterns for implementing Markets Data Standards and provide expert guidance on data usage within Markets. Your work will prioritize the delivery of technology data tooling, ensuring seamless integration with data and analytics platforms. Join us to drive data strategy through innovative solutions.
In this role, you will focus on automating data lineage registration and data quality monitoring. You will work with various technical teams to integrate strategic data management tools into workflows, enhancing our data management capabilities. If you have a strong background in data architecture and a passion for innovation, we invite you to join our team and make a significant impact on our data strategy.
Job Responsibilities:
- Act as a bridge between the Chief Data Office and Technology teams.
- Design and promote the adoption of tooling to support the Markets Data Strategy.
- Develop proof-of-concept prototypes for cross-LOB priority data products.
- Prototype technical patterns for Markets Data Standards implementation.
- Automate data lineage registration and data quality monitoring.
- Provide guidance on data patterns usage within Markets.
- Prioritize technology data tooling deliveries supporting Markets.
- Ensure integration with data and analytics platforms and on-premises data stores.
- Integrate strategic data management tools into producer and consumer workflows.
Required Qualifications, Capabilities, and Skills:
- Bachelor’s or master’s degree in Computer Science, Engineering, or related field.
- 5-10 years of experience in Financial Services technology.
- Experience with data/technology projects in the Financial Services sector.
- Excellent Python programming skills.
- Proven experience as a Data Engineer or similar role.
- Ability to build and optimize data sets and 'big data' pipelines.
- Familiarity with cloud services like AWS, Azure, or GCP.
- Ability to work collaboratively across multiple technology teams.
Preferred Qualifications, Capabilities, and Skills:
- Prior experience with Sell-Side analytics platforms (Athena, SecDB, etc.).
