The Role: 

SoFi is seeking an experienced and motivated Data Engineering Manager to lead a part of our Data Engineering function that supports business units across all of SoFi and will be responsible for leading a strategy for building a self-serve and scalable analytics platform. The mission of the Data Engineering team at SoFi is to activate data throughout SoFi, enabling the creation of personalized and delightful experiences for our members. The Data Engineering team is responsible for providing our Users a seamless experience to leverage data to make data driven business decisions for all of SoFi.

As the single-threaded leader for this group, you will establish the vision and strategy to build foundational and critical data products for Lending business units, which are highly leveraged across SoFi for analytical, reporting, and machine learning use-cases. You will also be responsible for driving self-serve and scalable analytics initiatives that make users lives easier to access data with high integrity and quality. The Data Products Group establishes and promotes best practices for data management and governance across SoFi.

We are currently seeking an experienced and highly motivated Data Engineering Manager to lead our Data Products group. In this role, your primary responsibilities will include developing and executing the data engineering strategy, driving data architecture initiatives, and overseeing the design and implementation of scalable data products. Collaboration with cross-functional teams will be essential to ensure data quality, integrity, and availability while promoting best practices for data management. This leadership position demands a strong technical background in data engineering, exceptional management skills, and the ability to thrive in a fast-paced, results-oriented environment. As a leader of leaders, you will play a crucial role in guiding and mentoring your team, fostering their professional growth, and ensuring they have the necessary resources and support to effectively lead their respective teams.

What you’ll do:

• Lead and manage a team of data engineers, providing mentorship, guidance, and support. Establish clear goals and expectations for the team, ensuring alignment with the organization's objectives.
• Develop and implement the data engineering strategy in line with SoFi's overall data strategy. Keep abreast of industry trends and emerging technologies in data engineering, assessing their potential for adoption.
• Design, construct, and maintain scalable and dependable data infrastructure and products, encompassing data pipelines, ETL processes, and data warehouses. Safeguard data integrity, quality, and security across all data engineering processes. Enhance the performance and efficiency of data infrastructure and systems.
• Collaborate with data scientists, analysts, and software engineers to comprehend their data requirements and devise appropriate data solutions. Collaborate closely with stakeholders from diverse business units to define and implement data engineering solutions that cater to their needs.
• Communicate effectively with both technical and non-technical stakeholders, effectively translating complex concepts into clear and actionable insights.
• Plan, oversee, and execute data engineering projects, ensuring timely delivery within allocated budgets. Define project scope, objectives, deliverables, and timelines, while appropriately allocating resources.
  
  

What you’ll need:

• A bachelor's degree in Computer Science, Data Science, Engineering, or a related field; a master's degree is advantageous.
• Over 8 years of experience in data engineering and analytics, with a proven track record of successfully building data teams. At least 2 years of experience in managing engineers.
• Proficiency in data engineering technologies such as SQL, Python, Snowflake, Airflow, Data Warehousing, and Cloud Platforms.
• Thorough knowledge of data modeling, database design, data architecture principles, and data operations.
• Exceptional leadership and team management skills, with a demonstrated ability to inspire and develop high-performing teams.
• Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans.
• Excellent communication skills, both written and verbal, enabling the clear presentation of complex information to technical and non-technical audiences.
• Experience in the Fintech industry is advantageous.