Senior Technologist - Data Engineering and AI Platforms

Job description

Educational Requirements Bachelor of Engineering Service Line Strategic Technology Group Responsibilities - Data Engineering Architecture: Serve as a hands-on technical leader in the design of scalable data pipelines, data stores, and information flows across the enterprise. - Design and optimize cloud-based big data platforms, including ingestion, transformation, storage, and consumption layers. - Lead the engineering of ETL/ELT frameworks, streaming pipelines, and batch processing solutions. - Conduct enterprise-wide assessments of data stores and data flows to identify bottlenecks, friction points, and modernization opportunities. - Own data modeling standards to ensure alignment with business objectives, performance, and accessibility. - AI Enablement Advanced Analytics: Enable and support AI/ML and GenAI initiatives by building reliable, high-quality, and well-governed data pipelines. - Collaborate with Data Science teams to operationalize models, including feature engineering pipelines, inference data flows, and model monitoring data. - Support AI-driven use cases such as predictive analytics, recommendations, NLP-based insights, and intelligent automation. - Stay current with market trends, embed innovative practices into strategy, and drive the organization forward with an AI-first approach ensuring AI initiatives move beyond proof-of-concept to enterprise-scale solutions. - Approach data engineering with an AI mindset and vice versa, reflecting the evolving and inseparable nature of the two disciplines. Technical and Professional Requirements: - Desired Qualifications: Experience in financial services, with understanding of consumer and commercial banking data. - Experience supporting or enabling AI/ML and GenAI solutions, including feature pipelines and analytics platforms. - Familiarity with data visualization and BI tools (Tableau, Cognos, SAS). - Knowledge of responsible AI, data governance, and regulatory considerations in highly regulated environments. - Experience modernizing legacy data platforms into cloud-native architectures. - Executive speaking skills ability to articulate strategy, challenge the status quo, and present to senior leadership and key stakeholders with confidence. - Experience working across or within highly collaborative, non-hierarchical organizational cultures with an emphasis on peer relationships and open communication. Preferred Skills: - Technology->AI-Generative AI->Generative AI - Basic - Technology->Data Engineering->Databricks