Senior Manager, Platform Software Engineering

TheBig Data Service (BDS) team in OCI has a charter to offer a managed cloud-native Big Data Service focused on large-scale data processing and analytics on unstructured data stored in data lakes and management of the data in data lakes. The service work scope encompasses not just good integration with OCIs native infrastructure (compute storage networking etc.) but also deep integration with other relevant cloud native services in OCI (like Oracle Kubernetes Data Catalog ADW etc.). are looking for a Senior Manager Software Development for the BDS team to help drive innovation operational excellence and customer success for Big Data Service in OCI.

The role comes with a high degree of personal accountability and autonomy and will require effective engagement across all cross-organizational functions to deliver results.

In this role you will drive the design development and integration of state-of-the-art open-source technologies for enabling large-scale enterprises to build their data solutions on OCI. You will collaborate with stakeholders across product engineering and science to shape the Data Platforms roadmap and deliver differentiated value to enterprise customers and partners.

Key responsibilities

• Attract mentor and inspire a team of talented engineers dedicated to developing and operating advanced data platform technologies. Focus on creating an inclusive high-performance culture where team members are empowered to grow their skills take ownership of their work and achieve their professional goals. Provide guidance coaching and regular feedback to enable both individual and team success.

• Define and execute the vision for data platform services and tools that enable advanced automation insights and productivity for enterprise applications.

• Evaluate architect and integrate emerging data engineering and management technologies assessing their relevance maturity and impact on the Data Platform.

• Establish best practices for scalable secure and robust deployment of data services ensuring seamless integration with Oracles cloud and application ecosystem.

• Shape technical strategy and influence the platform roadmap by translating market and customer requirements into actionable engineering plans.

• Foster cross-functional collaboration with product engineering science and enterprise customers to prototype and validate innovative workflows.

• Drive pilots and joint initiatives with strategic customers and partners to accelerate adoption of Oracles Data Platform offerings.

Core Responsibilities

Planning & Execution:

• Manages multiple medium- to large-scale projects or initiatives across teams ensuring timelines deliverables and budgets when applicable are monitored and met. Provides direction to teams on project work setting priorities and aligning with business needs. Guides teams on adjusting plans to accommodate resource or timeline changes.

Collaboration & Partnership:

• Drives cross-functional partnerships to align expectations and shared objectives across multiple teams. Coaches team members to develop strategic relationships with business leaders stakeholders and external partners to foster collaboration and long-term success. Promotes inclusivity by actively seeking and listening to diverse perspectives ensuring others feel heard and respected.

Problem Solving:

• Provides direction to multiple teams on addressing complex operational and/or technical issues as well as providing guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues helping the team to identify potential solutions.

Continuous Learning:

• Models engaging in continuous learning to deepen expertise and stay ahead of industry trends integrating best practices into strategic planning. Leverages feedback to drive personal and team skill improvements. Identifies skill gaps across teams and empowers team members to pursue learning and knowledge sharing opportunities that build their expertise in new areas and coaches them to apply learnings to advance the organization.

Continuous Improvement:

• Drives team to collaborate on develop and implement ideas to increase the efficiency and effectiveness of processes protocols and workflows within and across teams providing oversight. Guides team to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement.

Performance and Development:

• Drives performance across teams by providing feedback and coaching in alignment with performance management processes guidelines and expectations. Discusses development goals with team members shares opportunities to facilitate career development and ensures individual goals are aligned with broader organizational goals. Develops and manages talent acquisition pipeline by leading candidate interviews monitoring promotion eligibility and/or orchestrating talent resources.

Required Qualifications

• Proven experience leading technical innovation teams in cloud data platforms or large-scale infrastructure environments.

• Deep technical expertise in big data systems like Hadoop Hive Spark or equivalent cloud storage and data management technologies enabling large scale data pipelines.

• Knowledge and experience with SQL querying data processing and database technologies.

• Demonstrated track record of delivering complex high-impact features or platforms from concept to customer adoption and operational stability.

• Strong business acumen with the ability to balance strategic vision with operational execution and customer needs.

• Exceptional communication and stakeholder management skills with the ability to influence at all levels including enterprise customers.

• Experience driving end-to-end engineering solutions in partnership with cross-functional teams including science engineering and customer-facing roles.

• 6 years of engineering or technical leadership experience with significant recent experience in data infrastructure development and operations.

Preferred Qualifications

• Experience in building enterprise grade software in cloud (OCI Azure AWS GCP).

• Prior contributions to open-source components like Hadoop Hive Spark HBase.

• 10 years of engineering or technical leadership experience with significant recent experience in data infrastructure development and operations.

Career Level - M3