Data Engineer - AI-First Cloud Platform

Franklin Templeton; Baltimore (MD); Hybrid; USD 128,000 - 166,000; Full time

Benefits offered by this job

Competitive total rewards

Discretionary bonus

Paid time off

Job summary

Franklin Templeton is seeking a Data Engineer to design, build, and optimize scalable data platforms across transaction systems and cloud-based lakehouse architectures. You will collaborate with global teams to translate business requirements into reliable data solutions.

The role emphasizes AI-first thinking, data quality, and governance, with hybrid work options in Stamford, CT or Baltimore, MD and a generous total rewards package including a discretionary bonus.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 6+ years designing and building enterprise data pipelines and platforms.
• Experience translating business requirements into scalable data solutions.
• Strong communication with non-technical stakeholders.

Responsibilities

• Build and own data products with clear SLAs and dashboards used for sales and analytics decisions.
• Develop and optimize data processing using SQL, PL/SQL, and Python for large-scale datasets.
• Improve pipeline performance and cost efficiency through design optimization.
• Collaborate with stakeholders to translate requirements into scalable data solutions.
• Ensure data quality with validation, monitoring, and governance controls.

Skills

SQL & PL/SQL

Python

Data modeling

Cloud AWS

BI reporting

AI tooling

Communication

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Informatica

Airflow

Git

CI/CD

BusinessObjects

Job description

Franklin Templeton is seeking a Data Engineer to design, build, and optimize scalable data platforms across transaction systems and cloud-based lakehouse architectures. You will collaborate with global teams to translate business requirements into reliable data solutions.

The role emphasizes AI-first thinking, data quality, and governance, with hybrid work options in Stamford, CT or Baltimore, MD and a generous total rewards package including a discretionary bonus.