Data Platform Engineer

What will you be doing?

Barclays Services LLC seeks Data Platform Engineer in Whippany, New Jersey (multiple positions).

• Defrag very large database files to recover dedicated storage space and ensure storage constraints and performance continue to operate at peak levels.
• Utilize scripts, DBCA, and RAC with Oracle ASM administration to install, configure and manage all databases.
• Administer Oracle RAC databases and Oracle ASM volumes, monitor database performance and capacity, and configure Oracle Enterprise Manager to automate monitoring and administration tasks.
• Engage developers to create and support extract, transform, and load (ETL) functions, migrate databases to new infrastructure components using Golden Gate and Veridata utilities as well as RMAN Duplicate and Data Pump tools.
• Work with Data Modelers and Data Architects to review and deploy logical and physical data models in the databases.
• Utilize database tools such as TOAD, OEM, SQL Developer and SQL Loader to define, analyze and design applications to achieve ETL functionalities.
• Troubleshooting problems regarding database and application tools.
• Create and maintain all databases for development, testing and production usage, planning and implementing backup and recovery strategies.
• Providing technical support to application development teams.
• May telecommute.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientists to build and deploy machine learning models.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions.
• Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identifying the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross-functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.