. Design and implement modern data platforms using Oracle AIDP (AI Data Platform), Oracle Cloud Infrastructure (OCI), Oracle Autonomous Database, and Oracle Data Integration tools.

2. Architect and operationalize Medallion architecture (Bronze, Silver, Gold layers) for structured and unstructured data pipelines.

3. Lead the development of data lakehouse solutions integrating batch and streaming data using tools like Apache Kafka, Spark, and Databricks.

4. Define and enforce data governance, metadata management, and data quality frameworks.

5. Proficiency in PySpark development is required including hands-on expertise in Spark SQL, DataFrame APIs and performance tuning of PySpark jobs along with experience with distributed computing, job orchestration.

6. Collaborate with business stakeholders to translate analytical needs into scalable data models and pipelines.

7. Mentor and guide data engineers, analysts, and architects across multiple teams.

8. Evaluate emerging technologies and lead proof-of-concept (PoC) initiatives.

9. Ensure compliance with security, privacy, and regulatory standards in data architecture.

10. Understanding of AI/ML concepts with hands-on experience in designing, developing, and deploying AI/ML models. Should have practical experience in applying machine learning techniques to real-world business problems.

11. Experience working with cloud-based ML platforms (e.g., OCI Data Science) is a plus. Exposure to large language models (LLMs), generative AI, and prompt engineering is desirable.

12. Any Industry Standard Certifications will be a plus

13. Good knowledge in Oracle database and development Experience in the database application.

14. Creativity, Personal Drive, Influencing and Negotiating, Problem Solving

15. Building Effective Relationships, Customer Focus, Effective Communication, Coaching.

16. Ready to travel as and when required by project