Senior Data Platform Engineer

Job summary

Own and evolve an Oracle data platform supporting transactional operations, analytics, and AI-ready data access. The role manages Oracle Autonomous AI Database Transaction Processing and Lakehouse workloads, OCI Object Storage, reliability, performance, security, and data governance while partnering with application developers, analytics teams, and enterprise architecture. It also establishes platform standards and prepares services for mission-critical, 24x7 workloads.

Benefits

Qualifications

• At least 8 years of Oracle Database Administrator experience, including senior or lead responsibilities.
• Hands-on experience with Oracle Autonomous AI Database Transaction Processing and/or Lakehouse workloads.
• Strong knowledge of Oracle performance tuning, indexing, execution plans, and SQL optimization.
• Experience supporting transactional and analytical workloads.
• Experience managing semi-structured or unstructured data at scale, including JSON, Parquet, or Avro.
• Hands-on administration of a cloud lakehouse or analytics platform.
• Strong understanding of backup, recovery, and high-availability concepts.
• Ability to independently own Oracle databases and the data platform in partnership with infrastructure teams.
• Ability to work across Oracle database operations and multi-platform data management.
• Strong collaboration skills with developers, data teams, and architects.

Responsibilities

• Administer Oracle Autonomous AI Database Transaction Processing and Lakehouse environments.
• Maintain database availability, performance, backup readiness, and recovery readiness.
• Monitor capacity, resource use, and platform growth; plan and execute patching, upgrades, and lifecycle maintenance.
• Tune SQL, PL/SQL, and data access patterns.
• Manage storage and access for semi-structured and unstructured data, including JSON, Parquet, Avro, documents, and files.
• Define standards for data organization, file formats, partitioning, lifecycle, governance, cataloging, and access controls.
• Set platform architecture standards and advise on workload placement, schema design, indexing, partitioning, and data modeling.
• Establish repeatable deployment and rollback patterns and review database-related code changes for performance, security, and standards compliance.
• Support reporting, analytics, AI-ready workloads, data synchronization, and reliable data pipelines.
• Manage encryption, auditing, access controls, and role-based security; support SOC 2 reviews and documentation.

Skills

Certifications

Degrees

Work schedule

Industry

Relocation