Key Responsibilities :
- Design, build, and support enterprise data, analytics, AI, and machine learning solutions using the Databricks Lakehouse Platform
- Design and Develop scalable data pipelines, AI/BI dashboards, Databricks Apps, Lake base applications, and data products to meet business and analytical requirements.
- Collaborate with business stakeholders, architects, and product teams to define functional and technical solution requirements.
- Design enterprise data architectures, integrations, and workflows that align with governance, security, and performance standards.
- Develop and operationalize machine learning, Generative AI, RAG, and agentic AI solutions using Databricks AI capabilities.
- Deliver trusted analytics and insights through governed data products, dashboards, and self-service analytics.
- Evaluate existing application ecosystems (including Oracle Supply Chain Planning and S&OP;) and recommend modernization opportunities using Databricks.
- Lead solution design, implementation, testing, support,
and continuous improvement while ensuring best practices for scalability, reliability, and cost optimization
Qualifications and Competencies :
- Experience : 5 years of experience designing and delivering enterprise data, analytics, AI, or engineering solutions.
- Proven experience with the Databricks Lakehouse Platform, including Unity Catalog, Delta Lake, Databricks SQL, AI/BI Dashboards, Databricks Apps, Lakebase, Workflows, and MLflow.
- Hands-on experience building production-grade GenAI, RAG, multimodal AI, agentic workflows, Vector Search, and MLOps solutions using Databricks, Azure OpenAI, AWS, Azure, or GCP.
- Robust proficiency in PySpark, SQL, Python, data engineering, machine learning, and cloud-native architectures.
- Experience with enterprise application integration, Agile delivery, and the full software development lifecycle.
- Excellent stakeholder management, problem-solving, and communication skills.
📌 Cummins - Senior Solution Engineer - Data Platform (India)
🏢 Cummins
📍 India