Fidelity Investments

Principal Full Stack Engineer (MarTech, CDP, Data and Integrations)

Westlake, TX, USPosted 3 days ago

Job Description

### Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

Fidelity Investments is looking for an experienced Principal Engineer to deliver the next stage in the evolution of our Marketing Technology and Data Platform capabilities. In this demanding role, you will lead platform, capabilities and application design, development, configuration, testing, and support of a complex Customer Data Platform (CDP) ecosystem that is modernizing marketing audience management and cross-channel communications.

The Expertise and Skills You Bring

Technology

  • 10 plus years of overall software engineering experience
  • Strong hands-on experience in solution architecture design and delivery, with a focus on Marketing Technology and Data Engineering
  • Deep expertise in Twilio Segment Customer Data Platform, including platform administration and features such as identity resolution, usage and governance, and functional capabilities like zero-copy linked audience management, activations, integrations, sources (Web, Events, Datawarehouse), and destinations (SaaS platforms such as Salesforce, Adobe, Files, APIs)
  • Proven experience integrating CDP solutions across AWS cloud environments, SaaS platforms, Snowflake, and custom applications/APIs
  • Experience leveraging CDP for cross-channel marketing activations, including Email, Web, Mobile, and journey-based marketing delivering real time, always on as well batch campaigns and communications
  • Strong experience building full-stack solutions on AWS, including Kubernetes, Lambda, APIs provider and consumer, and event-driven architectures, messaging platforms and company frameworks with, with development in Java and Python.
  • Strong experience in Snowflake data architecture and engineering, including Data modeling, Creating and managing tables and views, Writing and reviewing SQL queries, Cluster right-sizing, Performance tuning and compute cost optimization for h...

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