Design, architect, and implement a scalable data platform for the business unit's specific needs that supports data-driven decision-making, operations efficiency, and democratization of data.
Design a data platform architecture that promotes seamless integrations with 3rd party applications, Corporate IT systems including ERP, and in-house built solutions.
Act as the primary liaison between the business unit technology team and Corporate IT, ensuring that data architecture, governance standards, cyber security, and compliance protocols are maintained.
Establish processes to ensure federation of corporate IT policies within the business unit.
Lead and mentor a team of data engineers to build all necessary data pipelines and infrastructures inspired by the latest best practices in modular design and microservices.
Collaborate with business stakeholders, product managers, software engineers, and other data engineers to ensure the data platform supports the innovation ambitions of the business unit including Data Science, Machine Learning, and Artificial Intelligence.
Develop and implement logical and physical data models that meet the unique needs of the business unit while aligning with Corporate IT standards for data architecture.
Develop and oversee data ETL processes guaranteeing optimized performance.
Maintain detailed documentation of the data architecture, data flows, and integrations to ensure transparency and consistency across both business unit and corporate data systems.
Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a related field.
A Master in the field is a plus.
8 years of experience in data architecture and data engineering, with significant experience in enterprise data design.