Lead customer research and product strategy for large financial projects, defining value, prioritizing work, directing web/app UI/UX, aligning stakeholders, and improving KPIs after release.
About this role
The Data Platform Specialist is part of the data platform development team, building a shared foundation for financial and behavioral data across multiple businesses. The platform supports cross-business analysis, product development, and AI use, with work focused on scalable pipelines and reusable data models. The role leads technology selection and architecture improvements from design through implementation, including technical-debt reduction, quality and performance improvements, and secure, scalable ETL pipelines and data models. It automates workflows using infrastructure as code and workflow engines. The named stack includes BigQuery, AWS, GCP, Terraform, Apache Airflow, Amazon AppFlow, SQL, and Python. Required experience covers data-platform architecture and technology selection; ETL pipeline design, construction, and operation; data-processing code in Python, Go, Java, or another language; and building and operating data platforms on GCP or AWS. Candidates must also define business requirements, translate them into analytics or platform work, and gather needs through stakeholder communication.
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