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Senior Data Engineer

Senior Data Engineer

SofiCottonwood Heights, Utah, United States
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SoFi is seeking an experienced and motivated Senior Data Engineer to be part of our Data Platform group within the Data Enablement division. The mission of the Data Enablement division is to activate data throughout SoFi, enabling the creation of personalized and delightful experiences for our members.

As a Senior Data Engineer, you will help achieve the vision and strategy to build foundational and critical data platform products which are highly leveraged across SoFi for analytical, reporting, and self-serve use-cases. Our mission is to build frameworks, features, strategies and platform level capabilities that will drive teams to perform self serve analytics, gain insights and increase data driven decisions for all of Sofi product

Role :

  • A talented, enthusiastic, and detail-oriented experienced Data Engineer who knows how to take on big, data challenges in an agile way. This includes data design and analysis, data modeling, development, deployment, and operations of data pipelines and platforms.
  • Builds and leads development of critical SoFi’s data platform features, Semantic Layer, BI initiatives, Operational experience enhancements and expands data knowledge in the team.
  • Act as a subject matter expert for data platform capabilities that can be leveraged across SoFi for analytical, reporting, ML / AI self-service use-cases.
  • Has deep understanding of data, analytical techniques, how to connect insights to the business, and practical experience in insisting on highest standards on operations in data platform capabilities and data pipelines.
  • This role requires you to live at the cross section of data and software engineering.

What you’ll do

  • Design, develop, test, deploy and debug robust data solutions that can scale horizontally and vertically.
  • Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data platform features for self serve analytics, Semantic Layer and BI initiatives
  • Build and optimize Operational experience for systems and processes to run efficiently.
  • Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements, influence best practices upstream and down, and deliver solutions that meet business needs.
  • Effectively communicate complex technical concepts and trade offs to non-technical stakeholders and senior management verbally and in well written technical documents.
  • Enforce data governance policies and practices to maintain data integrity, data quality, security and compliance with relevant regulations.
  • Provide technical leadership and strategic guidance on feature building and development.
  • Provide mentorship and guidance to the team, fostering a culture of continuous learning, innovation, and excellence.
  • Contribute to hiring and training efforts to build a skilled and motivated data engineering workforce.
  • Be part of an on-call team rotation to support the SoFi Data Platform capabilities

    • What You'll Need :

  • A Bachelor’s degree in computer science, Data Science, Engineering, or a related field.
  • Over 5 years of hands-on experience in data engineering and analytics, with a proven track record of successfully building data pipelines and data platforms.
  • Strong programming skills in Python, SQL and / or another data centric language.
  • Proficiency in data engineering tech stack; Snowflake / GitLab / AWS / Airflow / DBT etc
  • Broad proficiency in relational database platforms and significant experience with cloud data warehouse platforms such as Snowflake, and familiarity with others like Redshift, or Google BigQuery
  • Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans with a detail-oriented approach to your work.
  • Thorough knowledge and passion around data modeling, database design, data architecture principles, and data operations.
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences.
  • Good to have experience in building / deploying resources using Infrastructure as Code - IaC tools (like Terraform)
  • Good understanding of AI and its usage
  • Experience in a highly regulated and governed sector, though the Fintech industry is advantageous.
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    Senior Data Engineer • Cottonwood Heights, Utah, United States