Data Manager

4 weeks ago

Charlotte, North Carolina, United States Social Finance Ltd Full time
Job Title: Senior Data Specialist

We are seeking an experienced Senior Data Specialist to join our Risk Engineering Artificial Intelligence team. As a critical member of our Independent Risk Management function, you will play a pivotal role in developing data-intensive solutions to drive data-driven decision making for Risk.

You will collaborate closely with senior leadership to identify opportunities, develop cutting-edge innovative data and AI solutions, and deliver actionable insights that will shape our risk oversight strategies.

This critical role focuses on data acquisition, data transformation, and data staging, as well as feeding data to reporting, analytics, and AI applications using APIs.

Key Responsibilities:

  • Design, develop, and maintain scalable and efficient data pipelines to ingest, process, and store diverse data sets from multiple sources.
  • Perform data cleaning, validation, and transformation to prepare high-quality data sets for analytics, reporting, and machine learning.
  • Build and manage data staging environments and ensure optimal storage of structured and unstructured data for downstream applications.
  • Create and maintain APIs to expose data for internal teams, ensuring secure and reliable data access.
  • Work closely with AI/ML specialists, risk financial reporting analysts to participate in deploying enterprise-grade data processing pipelines to production.
  • Implement best practices for data governance, including data lineage, versioning, and monitoring to maintain data accuracy and reliability.
  • Identify areas for process improvement, automation, and optimization within the data pipeline and implement innovative solutions.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Minimum of 8+ years of experience in data engineering or a related role building analytics solutions leveraging Git workflows, modularized coding practices, API calls, and web-based solutions.
  • Prior experience in working with machine learning teams and AI-based solutions deployment is preferred.
  • Prior experience in banks/financial companies is preferred.

Preferred Skills:

  • Expert/advanced proficiency in Python for data manipulation and transformation.
  • Experience with large-scale data handling, including unstructured text processing, tokenization, embeddings, and data pipelines.
  • Strong experience in ad querying of database schemas using advanced SQL for data manipulation, querying, and database management.
  • Hands-on experience with data flow orchestration/scheduling tools for data processing workflows.
  • Deep hands-on experience with core technologies on Snowflake, Airflow, dbt, git, docker, Tableau, Streamlit, SQL.
  • Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB) and data lakes for handling large amounts of text data.
  • Experience with vector databases and retrieval-augmented generation (RAG) techniques using systems like Elasticsearch, Pinecone, or FAISS for enhancing LLM performance.
  • Working knowledge of large language models (LLMs) and their integration into data pipelines.
  • Familiarity with common machine learning frameworks and libraries.
  • Experience with cloud-based machine learning and AI platforms such as AWS (SageMaker, Lambda) and Snowflake with a focus on GenAI model training, deployment, and monitoring.

SoFi provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, gender, gender identity, gender expression, national origin, ancestry, age, physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

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