Data Engineer

Franklin Templeton · Baltimore · $128,100–$166,200 (stated in the posting)

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At Franklin Templeton, we believe success is built through powerful partnerships. As a forward thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting edge strategies and deep insights to unlock opportunities for long term wealth creation. Our talented, global teams bring expertise that is both broad and unique.

From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success.

Data Engineer

About the Department

The Client Data Services (CDS) team is a strategic data function within Enterprise Data Analytics that directly enables revenue growth, client engagement, and better decision-making through trusted data. The team delivers high-quality, governed client datasets that power sales strategy, analytics, and distribution intelligence across the firm.

CDS operates as a cross-functional team combining data engineers, software engineers, and analysts who partner closely with Sales, Marketing, and business stakeholders. Work is highly collaborative, fast-paced, and outcome-driven.

Joining this team provides the opportunity to work on enterprise-scale data platforms, modern cloud technologies, and AI-enabled workflows, while continuously building technical depth and business context.

Job Overview

We are seeking a Data Engineer to design, build, and optimize scalable data platforms across transaction systems and cloud-based lakehouse architectures. This role is central to building a governed, high-performance data ecosystem that supports analytics and AI-driven use cases.

You will collaborate with global teams to translate business requirements into reliable, scalable data solutions.

How you will add value

• Build and own data products with clearly defined SLAs, quality metrics, and consumer-facing interfaces (APIs, reports, or datasets) used for sales and analytics decision making.

• Develop and optimize data processing using SQL, PL/SQL, and Python for large-scale datasets.

• Improve pipeline performance and manage cost through efficient design and optimization.

• Partner with stakeholders to translate requirements into scalable data solutions.

• Ensure data quality by embedding validation, monitoring, and governance controls.

• Troubleshoot issues and drive root cause resolution to improve system reliability.

• Implement automated testing, validation, and CI/CD pipelines to ensure reliable deployment of data pipelines and services.

• Define and enforce data/API contracts to ensure consistency, reliability, and backward compatibility across systems.

AI Fluency

• We expect the candidate to apply an AI-first mindset in both development workflows and system design.

• Use AI tools for coding, testing, debugging, and documentation while validating outputs.

• Incorporate AI into system design and evaluate trade-offs.

• Automate repetitive workflows using AI-powered solutions.

• Apply structured prompting techniques to solve complex problems.

• Ensure AI-assisted solutions are production-ready with testing and monitoring.

What will help you be successful in this role

Requirements

• Education: Bachelor’s degree in Computer Science, Engineering, or related field.

• Work Experience: Experience (6+ years) designing and building enterprise data pipelines and platforms.

• Technical Depth: Ability to build or optimize data workflows, not just operate existing systems.

• Collaboration: Experience working with business stakeholders to deliver data solutions.

• Reporting & BI: Experience translating business requirements into scalable reports and dashboards using BusinessObjects or similar BI tools.

Technical Skills

• Strong proficiency in SQL, PL/SQL and data modeling for large datasets.

• Experience with cloud platforms (AWS) and relational/distributed databases (e.g., Oracle).

• Programming skills in Python and/or Spark for data processing.

• Experience with data pipeline tools (Informatica or equivalent).

• Experience with orchestration tools such as Control-M or Airflow.

• Experience designing and delivering business-facing reports/dashboards using BusinessObjects (or similar BI tools) based on large, governed datasets.

• Experience with version control (Git) and CI/CD pipelines for automated build, test, and deployment.

• Experience with data observability, monitoring, and reliability practices (e.g., SLA tracking, anomaly detection, lineage).

Soft Skills

• Able to communicate complex data concepts clearly to non-technical stakeholders.

• Strong problem-solving mindset demonstrated through diagnosing and resolving data issues.

• Ability to influence decisions across teams in a cross-functional environment.

Nice to Have (Preferred Skills)

• Experience with modern lakehouse architectures (Iceberg, Delta Lake).

• Domain knowledge in financial services or investment datasets.

• Exposure to data observability or monitoring tools.

• Experience using AI-assisted development tools.

Work Schedule & Location

• This role will work a hybrid schedule 3 days/week in any our Stamford, CT or Baltimore, MD offices.

Franklin Templeton offers employees a competitive and valuable range of total rewards – monetary and non-monetary – designed to support their well-being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program. We expect the annual salary for this position to range between $128,100 – $166,200, depending on location and level of relevant experience, plus a discretionary bonus.

At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That’s why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.

Highlights of our benefits include:

- Paid Time Off: Three weeks of PTO in your first year

- Health Coverage: Competitive medical, dental, and vision insurance to support your well-being

- Retirement Savings: 401(k) plan with an 85% company match on pre-tax and/or Roth contributions, up to IRS limits

- Equity & Investing: Employee Stock Investment Plan (ESIP) with discounted share purchase opportunities

- Learning Education Assistance Program (LEAP): To support your ongoing growth and career advancement

- Employee Investment Benefits: Opportunity to purchase company funds with no sales charge

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.

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