Enter a job title or keyword
Data Engineering Manager, Finance Data & AI Foundation
Job Location:
Job Location:
Austin, TX - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
14 October 2026 (8 hours ago)
Posted:
Application Deadline:
11 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
We are seeking a hands-on Engineering Manager to lead Finance Data and AI Engineering initiatives building scalable high-performance financial data systems that power reporting analytics and AI-driven role is execution-focused: leading a team of engineers to build optimize and modernize financial data systems that directly support Finances business operations and innovation initiatives. The ideal candidate combines deep data engineering expertise solid software engineering fundamentals and strong collaboration with Finance stakeholders.
You will be responsible for designing and delivering robust financial data solutions across modern data platforms including cloud data environments and enterprise databases such as SAP HANA while applying strong software engineering principles to ensure scalability reliability and performance.
Lead the design and development of scalable financial data architectures and solutions ensuring performance scalability and reliability using modern cloud platforms and enterprise software engineering excellence by applying SDLC practices enforcing modular architecture driving engineering discipline and enhancing system structured financial datasets for AI collaborate on model training and deployment enable real-time data capabilities and ensure data consistency and explainability in AI finance use query performance and data models for large-scale financial datasets using enterprise data platforms like SAP HANA Singlestore and Apache Iceberg while supporting native database capabilities and aligning usage with enterprise with Finance users to develop scalable technical solutions ensure initiative execution with clear milestones and mentor a team of data/software engineers.
Bachelors degree in Computer Science Information Systems or equivalentn812 years of experience in data engineering or software engineeringn5 years of engineering management experiencenStrong experience in: Data modeling and transformation Distributed data platforms or enterprise databases Software engineering best practicesnExperience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives
Experience driving the implementation of data governance and quality standardsnStrong stakeholder management skills in Finance or enterprise functions
You will be responsible for designing and delivering robust financial data solutions across modern data platforms including cloud data environments and enterprise databases such as SAP HANA while applying strong software engineering principles to ensure scalability reliability and performance.
Lead the design and development of scalable financial data architectures and solutions ensuring performance scalability and reliability using modern cloud platforms and enterprise software engineering excellence by applying SDLC practices enforcing modular architecture driving engineering discipline and enhancing system structured financial datasets for AI collaborate on model training and deployment enable real-time data capabilities and ensure data consistency and explainability in AI finance use query performance and data models for large-scale financial datasets using enterprise data platforms like SAP HANA Singlestore and Apache Iceberg while supporting native database capabilities and aligning usage with enterprise with Finance users to develop scalable technical solutions ensure initiative execution with clear milestones and mentor a team of data/software engineers.
Bachelors degree in Computer Science Information Systems or equivalentn812 years of experience in data engineering or software engineeringn5 years of engineering management experiencenStrong experience in: Data modeling and transformation Distributed data platforms or enterprise databases Software engineering best practicesnExperience developing strategies for data preparation and feature engineering to support large-scale AI and Machine Learning initiatives
Experience driving the implementation of data governance and quality standardsnStrong stakeholder management skills in Finance or enterprise functions
Required Experience:
Manager
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
