The Company is seeking a Senior Data Engineer to join its Platform Security Solutions organization. The successful candidate will be responsible for the technical ownership of all data engineering aspects across on-prem and cloud products, with a focus on enabling internal customers to make data-driven decisions. This role is pivotal in the development of self-service, scanning, and platform integrations, and the ideal candidate will have a strong product mindset, particularly in the context of cybersecurity and IT. Key responsibilities include building and optimizing scalable data pipelines, architectures, and data models, as well as ensuring the delivery of high-quality, structured, and unstructured data. The role also involves working with a variety of data environments, including on-prem and cloud (Azure and AWS), and requires advanced skills in SQL, scripting (Powershell or Python), and experience with ETL or ELT pipelines. Applicants for this role at the company should have a minimum of 5 years' experience in data engineering or data platform engineering, with a proven track record in working with APIs and enterprise infrastructure. Advanced skills in SQL, scripting, and experience with data platforms such as PowerBI, Databricks, and Snowflake are essential. The role demands a strong understanding of SDLC tooling, including GIT, CI/CD pipelines, and Jira. Preferred qualifications include experience with public cloud platforms and a background in a regulated industry. The ideal candidate will also demonstrate fluency in using LLMs to enhance engineering workflows and have a strong focus on building solutions to address the evolving challenges at the intersection of cybersecurity and IT.

Hiring Company

State Street