Description
We are seeking a Senior Data Platform Engineer to join our eDiscovery and Archiving Technology group. You will play a leading engineering role in modernising a critical enterprise data platform, providing identification, data-source intelligence, and configuration-control capabilities supporting defensible eDiscovery decisions.
Key Responsibilities:
- Design, code, unit test, review, profile, debug, deploy, and support production-grade Oracle PL/SQL packages, Java services, APIs, batch components, data-processing modules, and integration frameworks.
- Own key design decisions for modular decomposition of legacy data-platform capabilities.
- Extract and rationalise business logic embedded in legacy code, database routines, manual backend processes, and operational knowledge.
- Design, develop & maintain the on-premise data platform through substantial hands-on Java coding.
- Design for coexistence and transition between on-premise and GCP components.
- Develop scalable ingestion and onboarding patterns for HR, application, archive, account, migration, retention, and other source data.
- Establish a trusted data model and source-of-truth hierarchy for custodian identity and source coverage.
- Design services and configuration capabilities that reduce hard-coded change.
- Build end-to-end auditability into the platform.
- Define engineering standards for Java, Python, SQL, APIs, data modeling, testing, observability, resilience, security, CI/CD, and Infrastructure as Code.
- Lead technical design forums and influence engineers, architects, product partners, and control stakeholders toward robust, simple, and supportable solutions.
Requirements:
- Strong relational database engineering and advanced SQL skills.
- Hands-on Java expertise.
- Good practical Python coding knowledge.
- Strong experience building enterprise platforms, REST APIs, microservices, batch processing, event-driven integration, persistence frameworks, security controls, and automated testing.
- Proven ability to lead complex technical designs and influence experienced engineers.
- Strong data-platform engineering experience across both on-premise and cloud environments.
- Hands-on GCP data-platform experience with BigQuery, Cloud Storage, Cloud Composer/Airflow, Dataflow, Pub/Sub, Cloud Run and/or GKE.
Benefits:
- Best in class leave policy.
- Gender neutral parental leaves.
- 100% reimbursement under childcare assistance benefit.
- Sponsorship for Industry relevant certifications and education.
- Employee Assistance Program.
- Comprehensive Hospitalization Insurance.
- Accident and Term life Insurance.
- Complementary Health screening for 35 yrs. and above.