Principal, Data Engineer-Data Architect / ETL Developer
About The Position
Fidelity’s Fraud Risk & Controls (FRC) Unit is seeking an experienced Data Architect / ETL Developer to design, develop, and support enterprise data warehouse and integration solutions across on‑premise and cloud platforms. The ideal candidate will have deep expertise in data warehousing, ETL development, data modeling, data quality, big data, and cloud-based data platforms, working in large-scale, heterogeneous environments. This role requires hands-on development, strong analytical thinking, and the ability to collaborate with distributed teams to deliver reliable, scalable, and high‑performance data solutions.
Requirements
- Deep expertise in enterprise data architecture, ETL, and data warehousing, with hands-on experience across relational and NoSQL databases, Snowflake, Hadoop, Splunk, and hybrid on‑prem/cloud data platforms including AWS, S3, Azure, and data lake services.
- Strong database development and data engineering background using SQL, Python, scripting, RESTful APIs, and API integrations, with a focus on scalable, high‑performance data processing and automation.
- Extensive experience designing and developing ETL and data integration solutions using Informatica PowerCenter, SSIS, DTS, SQLPlus, SQLLoader, Business Objects Data Integrator, Salesforce integrations, Informatica Data Quality, and Metadata Manager.
- Proven ability to design dimensional data models, optimize SQL and ETL performance, and implement robust data quality, validation, cleansing, and governance practices.
- Demonstrated success supporting cloud and big data ecosystems, CI/CD pipelines, scheduling, and operational support for enterprise data solutions.
- Strategic and analytical problem solver who thrives in fast‑paced environments, independently researches complex technical challenges, and continuously identifies opportunities for improvement.
- Strong collaborator and communicator, skilled at partnering with business, analytics, engineering, and cybersecurity teams to translate business needs into secure, scalable data solutions.
- Experience defining technology and data strategies, managing short‑ and long‑term deliverables, measuring progress, and clearly reporting outcomes to senior leadership.
- Domain expertise supporting cyber fraud detection initiatives, including integrating new data sources, designing fraud detection data solutions and rules engines, and serving as a trusted data specialist for fraud analysts with strong institutional knowledge of financial services data.
Responsibilities
- Design, develop, and support enterprise data warehouse and integration solutions across on‑premise and cloud platforms.
- Hands-on development, strong analytical thinking, and the ability to collaborate with distributed teams to deliver reliable, scalable, and high‑performance data solutions.
- Design dimensional data models, optimize SQL and ETL performance, and implement robust data quality, validation, cleansing, and governance practices.
- Support cloud and big data ecosystems, CI/CD pipelines, scheduling, and operational support for enterprise data solutions.
- Define technology and data strategies, manage short‑ and long‑term deliverables, measure progress, and clearly report outcomes to senior leadership.
- Integrate new data sources, design fraud detection data solutions and rules engines, and serve as a trusted data specialist for fraud analysts.
Benefits
- Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
