Data Architect, AVP

Barclays - Hanover, NJ

Full-time - Mid Level

Remote - Hanover, NJ

5,001-10,000 employees

Credit Intermediation and Related Activities

About the position

The Data Architect, AVP role at Barclays involves developing and implementing data management procedures, ensuring high-quality data, and translating business needs into effective data models. This position is crucial for building and maintaining systems that collect, store, process, and analyze data, ensuring data accuracy, accessibility, and security. The role also includes collaboration with data scientists and leading a team to deliver impactful data solutions.

Responsibilities

• 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.

Requirements

• Experience in data architecture and management.
• Proficiency in ETL processes and PL/SQL development.
• Strong understanding of data governance and quality standards.
• Ability to translate complex business requirements into data models.
• Experience in data analysis, profiling, and validation.
• Strong communication skills to convey complex information effectively.

Nice-to-haves

• Experience with machine learning models and collaboration with data scientists.
• Familiarity with data lakes and data warehousing concepts.
• Knowledge of data security measures and compliance standards.

Benefits

• Referral program
• Telecommuting options
• Incentives pursuant to Barclays Employee Referral Program