Sr Data Engineer

Job title: Senior Data Engineer (Databricks Platform Modernization)
Job Description
Must Have Skills/Tech : 7-10 years experience Hands-on experience with Databricks and Azure , including implementation using Unity Catalog .
Experience in platform modernization projects and implementation.
Deep understanding of components of data and analytics (building data platforms, data platform management, data extraction, ETL/ELT, data security, and data/insight reporting)
Lead and facilitate technical conversations with team and cross collaboration teams
Job Responsibilities: Lead the design, development, and optimization of Cencora's cloud Data & Analytics platform, collaborating with cross-functional teams throughout all phases of data ingestion.
Evaluate and integrate software technologies into our modern platform, ensuring compatibility, scalability, and performance while leveraging configurable self-service tools.
Facilitate technical discussions and mentor junior team members to drive informed decisions, design scalable architectures, and enhance data solutions.
Document technical conversations, architectural decisions, and best practices to ensure alignment and enable knowledge sharing across teams.
Research and explore emerging features and technologies in the data and analytics space, identifying opportunities for innovation and improvement.
Conduct hands-on evaluation and testing of tools and technologies, including Databricks and Azure , to support data platform management, data extraction, UI/UX presentation, and generative AI.
Collaborate with delivery and platform teams to implement architectural strategies, design solutions, and ensure successful project outcomes.
Evaluate, propose, and implement data writing solutions using tools like Power BI, ensuring data governance, security, and compliance requirements are met.
Required Skills and Qualifications: 7-10 years of proven experience in Data Engineering roles, with a strong understanding of Data and Analytics components.
Expertise in cloud platforms, particularly Databricks and Azure , with hands-on experience in architecting and implementing data solutions.
Proficiency in data platform management, data extraction, UI/UX presentation, and generative AI, with a strong technical background in data ops and data governance.
Ability to lead technical discussions, mentor junior team members, document decisions, and communicate effectively with both technical and non-technical stakeholders.
Proactive, independent, and self-motivated with a natural curiosity and desire to explore emerging technologies, industry trends, and best practices.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience).