Data Architecture

Data Architecture and Engineering
Bachelor’s degree or higher in Computer Science, Engineering, or a related field (or equivalent practical experience).
12+ years of total and 10+ year progressive experience in data engineering, data architecture, and technical roles.
Good understanding of Banking and Financial Services domains, including familiarity with enterprise analytics data assets.
Experience in client consulting on data architecture and engineering solutions, with demonstrated ability to translate business needs into technical requirements.
Demonstrated expertise in distributed data architecture, cloud data architecture, modern business intelligence (BI) tools, and frameworks/packages used for Generative AI and machine learning model development.
Strong appreciation for data science concepts, including hands-on experience with machine learning algorithms, feature engineering, and model evaluation techniques.
Excellent presentation, communication, and interpersonal skills, with the ability to effectively engage stakeholders at various organizational levels.
Demonstrated aptitude for rapid learning and adoption of emerging technologies, methodologies, and paradigms in the evolving data science landscape.
Proven ability to integrate new techniques and technologies to address complex business challenges and drive innovation.
Strong resource planning, project management, and delivery skills.
Proven experience designing and developing large-scale, production-grade systems utilizing best-in-class software engineering practices, including Dev Ops, CI/CD pipelines, and automation technologies.
Good appreciation of data governance topics such as metadata management, data quality management, master data management and data security management.

Experience with marketing cloud solutions such as Salesforce will be an advantage.