Accountabilities

• Provide Data and Platform Engineering delivery and support capabilities and guidance and technical assistance to the data engineers and customers.
• Execute Strategy, Follow Principles and Design Frameworks for Delivery.
• Large scale complex application development, enhancements and maintenance projects/programs
• Lead a team of Data and Platform Associates/Engineers
• Expert level SME Data and Platform Engineering skills.
• Interact with Architect and Technical leadership over the roadmap for the evaluation and adoption of technical tools / technologies.
• Provide guidance and feedback to team members in technical design and understanding system functionality.
• Carry complete ownership of the technical aspect of the system, including quality and timeliness of development / testing / support.
• Recommend technical improvements to design, development, testing, adaptation to and acceptance of new methodologies and tools, code refactoring, performance optimization etc.
• Develop, guide and verify Development of applications aligned to best practices and standards, SDLC Frameworks.
• Ensure documentation is reviewed, kept updated and easily accessible to all
• Contribute to and support Data Engineering Chapter activities to modernise, grow and mature data and platform engineering capabilities.
• Perform peer code reviews, and provide constructive feedback to coninuously improve overall coding quality
• Provide recommendations to continuously improve the quality of data products
• Contribute to low-level architecture/technical design aligned to the high-level solution and business requirements
• Work within the agile development team to analyse and decompose stories into tasks for simpler implementation
• Proactively identify new frameworks / tools / processes to enhance the efficiency of the development team
• Responsible for the end to end quality of your own and team’s deliverables
• Communicate clearly and effectively with team members throughout all the implementation lifecycle

Education & Experience

• Minimum 5-7 years of experience in a data and platform engineering role or related functions.
• Development experience and ability to provide technical inputs to low level design
• University degree and technology certifications.
• Azure Databricks and Azure Analytics knowledge and experience is desirable 
• 1-3 years’ experience following the Scrum methodology (certification is desirable)
• Good communication skills