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Lead Data Solutions Architect

2 months ago

Englewood, Colorado, United States S&P Global Full time
About the Role:

The Data Engineering team at S&P Global combines automation, machine learning, and data engineering to improve the delivery of Ratings data & content to our analysts and customers. The team sits within the organization's Ratings Technology and works in close partnership with all teams throughout the organization.

Responsibilities and Impact:

You will be a key member of the S&P Global Data Engineering team, playing a key role in developing solutions for the company. You will collaborate closely within Advanced Analytics & Automation to bring current high-profile initiatives to production; including but not limited to: Generative AI, Auto Document Tagging, Unstructured Data Extraction, ML/LLM Driven Extraction. You will work with technology, business, and operations teams in this role, driving and executing on automation improvement opportunities to expand our capabilities around making our data value chain processes more efficient.

You will be a part of key transformation projects aiming to streamline and design automation utilizing Python and key technologies to enhance our data processes. In doing so, you will build relationships across the division to generate and unlock new and existing data for content delivery through technological advancements using intelligent automation, data science, and coding design principles.

Key Responsibilities:
  • Execute and serve as lead and/or SME on cross-organizational and cross-divisional projects automating our data value chain processes through automation utilizing Python and/or a key technology
  • Design solutions and develop automation capabilities, such as sourcing, collection, ingestion, extraction, transformation, translation, linking, chunking, feature engineering, and tagging utilizing modern and best in class techniques
  • Mentor team members on coding best practices
  • Serve as a source of knowledge for the Data Engineering team for process improvement, automation and new technologies available to enable best-in-class timeliness and data coverage
  • Develop skills for 'listening to learn' with the express goal of understanding processes and associated problems which enable efficient automated solutions
  • Be a strong partner with all the teams and stakeholders your projects and work involve
  • Monitor market trends in the data science/automation space identifying and onboarding new technologies and solutions to address business needs
  • Demonstrate innovation, customer focus, and experimentation mindsets
What We're Looking For:

Basic Required Qualifications:

  • 5+ years of relevant experience
  • Strong experience: Python
  • Knowledge in at least four of: GitHub, DataBricks, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, AzureDevOps
  • Experience building API's: Flask, FastAPI
  • Strong solution design. Able to receive a problem statement, assess and analyze for scope, and create a robust application
  • Proven track record as a high-performing practitioner and strong executor, particularly in content-related domain
  • Strong communication skills. This includes translating technical details into concepts for non-technical audiences
  • Strong problem-solving skills. Able to quickly identify and understand issues and drive towards effective resolution
  • Bachelor's degree or equivalent experience required; advanced degree preferred