Data Architect, AVP

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 warehoused 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 scientist 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, identify 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 developing 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 practises (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.

Barclays Services LLC seeks Data Architect, AVP in Whippany, New Jersey (multiple positions available):

• On behalf of a global financial services organization, develop and implement procedures covering data management, model development, testing, technical implementation, model execution and monitoring
• Ensure complex business requirements are accurately captured, documented, communicated, and understood by the business
• Translate business needs into conceptual, logical, and physical data models supporting long-term solutions ensuring high-quality data and reduced redundancy. Assess the quality of data and inputs for data model development and provide recommendations to improve data quality at the source
• Perform data analysis including data profiling and data validation. Develop and manage BI dependency plan, job scheduling and cycle management
• Work with data designer and ETL architect. Resolve semantic discrepancies in data definitions that arise among multiple sources and projects. Create and implement Data Governance framework that meets data objectives
• Establish and ensure to follow Data Quality Governance standards across various applications. Support proactive and reactive Change Management activities for reference data values and the structure/use of master data and metadata. Identify stakeholders and specific value propositions for solving data-related issues
• Develop scripts for load strategies, backup, and recovery to ensure system availability 24/7. Develop ETL and PL/SQL packages, conduct Unit testing, performance testing and coordinate production deployment, and resolve post-implementation issues
• May telecommute.

This position is eligible for incentives pursuant to Barclays Employee Referral Program.