Senior Data Engineer

Vericast is seeking a motivated Senior Data Engineer to build big data pipelines, automate marketing campaigns, and support data requirements for our analytics, reporting, and AI applications. This role will expand our data infrastructure and pipeline architecture while optimizing data flow and collection into our Data Lake environment.The Senior Data Engineer will work closely with our analytics, reporting, and data science teams on data initiatives, ensuring that a consistent, optimal data delivery architecture is available throughout ongoing projects. The ideal candidate is self-directed and comfortable supporting the data needs of multiple teams, systems, and products.This role is a great fit for someone who enjoys working in an agile team environment and contributing to high-quality, data-driven marketing products in close collaboration with developers and business partners.Key Duties & ResponsibilitiesDevelop scalable data pipelines and build new integrations to support continued growth in data volume and complexity.Build a robust Data Lakehouse that supports Vericast's marketing solutions business and financial institution clients, including pre-sales, campaign execution, and campaign performance analysis and benchmarking.Collaborate with AI, Analytics, and business teams to improve data models that feed AI and analytics tools, increasing data accessibility and fostering data-driven decision-making across the organization.Implement processes and systems to monitor data quality and ensure the availability and accuracy of production data for key stakeholders and dependent business processes.Perform data analysis to troubleshoot data-related issues and support their resolution.Provide post-deployment support, responding quickly to resolve unexpected production issues.Partner with business units and engineering teams to shape long-term data platform architecture strategy.