Role : Database Engineer / Specialist

A highly skilled Database Specialist with a strong passion for data, database technologies, and modern data architecture. Brings deep expertise in data modelling, schema design, database optimisation, and enterprise data management across relational and NoSQL platforms - designing and governing scalable, high-performing data solutions using Oracle, PostgreSQL, and NoSQL to support business-critical applications and enterprise transformation initiatives.

Key Responsibilities :

- Lead the design and implementation of enterprise-grade data architectures and database solutions.

- Define and maintain conceptual, logical, and physical data models for business applications.

- Design scalable and optimised schemas across Oracle, PostgreSQL, and NoSQL platforms.

- Establish data standards, governance frameworks, and best practices for data management.

- Collaborate with application, integration, engineering, and business teams to translate business requirements into robust data solutions.

- Drive database performance tuning, indexing strategies, query optimisation, and capacity planning.

- Design data structures to support OLTP, analytical, and reporting workloads.

- Define data migration, archival, retention, and data quality strategies.

- Support cloud-native and hybrid architecture initiatives involving distributed databases and modern data platforms.

- Review and approve database designs, ensuring alignment with architecture principles, security standards, and regulatory requirements.

- Mentor engineers and developers on database design, modelling techniques, and data engineering best practices.

Tech Stack & Experience :

- Database expertise : Deep hands-on experience with Oracle Database, PostgreSQL, and NoSQL databases (MongoDB, Cassandra, DynamoDB, Couchbase, or equivalent).

- Data architecture & modelling : Strong understanding of conceptual, logical, and physical data models; normalisation and denormalisation techniques; schema design and optimisation; Master Data Management (MDM); metadata management and data governance; and data lifecycle management.

- Technical skills : Advanced SQL development and query optimisation; database performance tuning and troubleshooting.

- Experience with partitioning, indexing, replication, and high-availability solutions.

- Understanding of distributed database systems and scalable architectures.

- Experience in data integration patterns and ETL/ELT concepts.

- Familiarity with cloud database services and modern data platforms.

- Knowledge of API-driven and event-driven architectures.

Success Measures :

- Scalable, high-performing database solutions delivered across Oracle, PostgreSQL, and NoSQL platforms.

- Well-governed data models and schemas aligned to standards, security, and regulatory requirements.

- Measurable performance gains through tuning, indexing, and query optimisation.

- Reliable data migration, archival, retention, and data quality strategies in production.

- Engineers and developers upskilled in database design and data modelling best practices.