Analytics Solutions Architect — Data Modernization

JPMorganChase; Jersey City (NJ); On-site; USD 170,000 - 201,000; Full time

Benefits offered by this job

Health care coverage

Retirement plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase in Jersey City, NJ is seeking a data-centric professional to analyze, design and modernize data and analytics products. You will drive POCs, guide cloud migration, and collaborate across teams to implement data modernization roadmaps.

The role emphasizes evaluating datasets, using ML/AI for finance data, and building robust data pipelines with AWS technologies in a Data Mesh framework. Competitive rewards and benefits are offered.

Qualifications

• Bachelor’s degree in a related field plus seven (7) years of analytics/architecture experience.
• Experience designing data pipelines and data modernization strategies.
• Familiarity with modern data ecosystems and data mesh concepts.

Responsibilities

• Analyze, evaluate and design Data and Analytics products and solutions.
• Drive POCs and pilot projects to convert legacy data to modern formats.
• Collaborate with cross-functional teams on data modernization roadmaps.
• Evaluate and validate datasets, track migration to the cloud, report progress.
• Structure and scope complex problems and apply analytical tools to develop solutions.

Skills

AWS pipelines

Python data transforms

ML features & pipelines

Kafka streaming

JSON-LD / RDF

Data Lake / Data Mart

Finance AI/ML

Databricks

Education

Bachelor's degree

Tools

AWS services (EC2/Lambda/S3/Glue/Redshift)

Kafka

JSON-LD / RDF

Databricks

Job description

JPMorgan Chase in Jersey City, NJ is seeking a data-centric professional to analyze, design and modernize data and analytics products. You will drive POCs, guide cloud migration, and collaborate across teams to implement data modernization roadmaps.

The role emphasizes evaluating datasets, using ML/AI for finance data, and building robust data pipelines with AWS technologies in a Data Mesh framework. Competitive rewards and benefits are offered.