Teams at Dynata

Manages client relationships and supports account growth by qualifying RFPs, writing proposals, developing pricing, coordinating bids, supporting project delivery, and contributing to sales presentations. Partners with Account and Sales Directors to expand revenue, upsell services, manage expectations, and maintain CRM records. Requires at least one year of relevant sales or customer service experience, strong communication skills, Microsoft Office proficiency, and travel as needed.

Designs, builds, and maintains scalable batch and streaming data pipelines, lakehouse medallion architectures, transformation layers, and data models. Develops PySpark and SQL solutions, integrates diverse data sources, implements data quality monitoring, and manages infrastructure as code. Troubleshoots pipeline and data incidents, participates in code reviews, collaborates with architects, and mentors junior and mid-level engineers.

Leads enterprise semantic layer, data, and AI platform architecture. Defines lakehouse, medallion, data model, data contract, metadata, schema governance, feature store, model lifecycle, and interoperability standards. Partners with product, engineering, platform, and data science teams to create secure, reusable foundations for analytics, machine learning, and AI applications. Translates business and governance requirements into scalable technical architectures and provides thought leadership across enterprise data and AI enablement.