Teams at evoke

Design and develop complex ETL processes, data pipelines, and backend data solutions across large-scale data warehouse environments. Build and maintain processes using SSIS, Apache Airflow, dbt, and Snowflake while ensuring data quality, scalability, reliability, and performance. Collaborate with stakeholders and applications across the organization, owning solutions from design through production implementation within an Agile team.

Lead a Data Engineering team responsible for development, QA, delivery, and maintenance of compliance data processes. Design and develop scalable ETL and backend data solutions across large-scale data warehouse environments. Manage regulatory data processes, ensure data quality and reliability, collaborate with product, compliance, and business stakeholders, and contribute to the organization’s cloud-native data platform transformation.

Lead and grow a cross-functional engineering and QA team building Evoke’s AI Enablement Platform. Own the technical strategy, roadmap, APIs, integration layers, platform services, and modernization of legacy systems using C#/.NET and Node.js. Establish standards for security, observability, versioning, and governance while partnering with AI teams. Drive engineering excellence, production support, incident management, reliability, mentoring, and evaluation of AI integration standards such as MCP.