Teams at Accenture

Design and implement scalable data architectures, ETL/ELT pipelines, storage, integrations, and data models using Databricks. Build secure Delta Live Tables pipelines, configure Unity Catalog, implement data sharing, optimize performance and costs, and integrate BI tools. Develop reusable Python and PySpark transformation logic, prepare datasets for generative AI, and deploy pipelines through CI/CD. Collaborate with stakeholders to ensure reliable, governed, observable, and business-aligned data solutions.

Develop and enhance custom full-stack software solutions using Java, modern frameworks, front-end technologies, RESTful APIs, and databases. Collaborate with cross-functional teams using agile practices, document development work, improve application performance and user experience, solve technical problems, and contribute independently as a subject matter expert while mentoring junior team members.

Designs and governs application data architecture, including data requirements, models, storage, integration, and scalable data platforms. The role leads teams, makes technical decisions, collaborates across multiple groups, resolves data architecture challenges, and maintains design documentation. It requires strong Databricks expertise, data modeling, ETL, cloud data platform knowledge, and data governance capabilities.