Teams at AND Digital

Develop data pipelines for decision-making and data science applications. Apply data quality, flow, and organization principles while coding in Python and SQL. Work with Snowflake, Azure Databricks, cloud platforms, and associated services. Apply AI data concepts and DataOps practices while collaborating with clients and multidisciplinary teams.

Provide technical leadership for the design, evolution, and scaling of AWS cloud platforms. Build reusable platform capabilities, self-service tooling, automation, and standardized engineering workflows. Improve reliability, scalability, performance, observability, security, and developer experience using cloud-native and SRE practices. Lead complex initiatives, influence architecture and technical strategy, establish engineering guardrails, and mentor engineers across multiple teams.

Lead client-facing engineering solutions: advise C-suite, identify opportunities, design scalable full-stack and AI-enabled architectures, support proposal development, mentor engineering teams, and ensure technical governance and delivery alignment.