Senior Data Architect – Finance & Market Data

Imea; Nashville (TN); On-site; USD 110,000 - 160,000; Full time

Job summary

AB is seeking a data-focused analyst to consolidate quantitative infrastructure and own data onboarding, governance, and metadata across a polyglot architecture. You will collaborate with market data vendors and cross-functional teams to design, test, and deploy scalable data solutions in a finance context.

The role emphasizes ownership of data quality, mapping, and documentation, working closely with senior quantitative analysts and business partners to ensure robust data management.

Qualifications

• Degree in Finance/Economics/Operations Management or Computer Science/Engineering; Master’s degree preferred.
• 5+ years of experience as a business data analyst involved in enterprise data integration in finance.
• Experience with market data vendors (Bloomberg, Refinitiv QADirect, MSCI, BarraOne).
• 2+ years of experience writing SQL queries to support data analysis.
• Strong project management, analytical and quantitative skills; data modeling & mapping skills.

Responsibilities

• Manage onboarding of new research datasets and data catalog metadata.
• Collaborate with market data team to secure data trial and license agreements.
• Write data pipeline specifications and map external data to internal models; develop and review test cases.
• Write data quality rule specifications and configure metadata; oversee related development projects.
• Own data governance, permissions, and documentation; drive improvements with operations.

Skills

SQL

Python

Data analysis

Data modeling

Project management

Communication

Education

Finance / Economics / Operations Management / CS or Engineering degree

Master's degree preferred

Tools

Bloomberg

Refinitiv QADirect

MSCI

BarraOne

Job description

AB is seeking a data-focused analyst to consolidate quantitative infrastructure and own data onboarding, governance, and metadata across a polyglot architecture. You will collaborate with market data vendors and cross-functional teams to design, test, and deploy scalable data solutions in a finance context.

The role emphasizes ownership of data quality, mapping, and documentation, working closely with senior quantitative analysts and business partners to ensure robust data management.