Hybrid AVP, Information Architect

at Synchrony

• Job title: AVP, Information Architect
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Google Cloud Platform, Hadoop, HDFS, Kafka
• Location requirements: Hybrid, Hyderabad, India

About the role

• Information Architect leading data architecture solutions at Synchrony for consumer-focused analytics platform. Focusing on modernizing legacy systems within a demanding environment.

Responsibilities

• Serve as a vital bridge from the business applications to technology architecture (TOGAF Architecture Development Method).
• Develop database solutions to ensure company information is stored effectively and securely.
• Work closely with IT and functional teams to recommend database structures based on data architecture needs.
• Develop intimate knowledge of SYF key data domains (originations, loan activity, collection, etc.).
• Maintain a holistic view across SYF functions to eliminate redundancies in data and data processing.
• Define proper representation of data assets in the data lake by promoting reusability, scalability and conformity to existing structures.
• Define and maintain logical and physical data model structure for new projects AND integrate with existing models.
• Assist in IT audits and other governance and compliance activities.
• Establish mechanism to validate source data populated into integrated data repositories.
• Collaborate with peer architects, modelers, and data engineers.

Requirements

• Bachelor’s Degree in Computer Engineering or related field required (Master’s degree preferred)
• 6+ years’ experience on Data Architecture, Hadoop big data platforms and AWS/GCP/Azure experiences OR in lieu of a degree 8+ years of experience required
• Design scalable, robust, and secure data architectures that integrates with existing/new infrastructure.
• Hands-on experience in creating and maintaining data models in ER Studio and generating DDLs.
• Strong familiarity with HDFS, Kafka and other Data Lake technologies and techniques.
• Strong experience with business analysis - Requirements analysis and conversion to data models.
• Must be able to develop creative solutions to problems.
• Strong verbal and written communication skills
• AWS/GCP/Azure experiences and/or certification.

Benefits

• Flexibility for all employees
• Best-in-class employee benefits and programs
• Career advancement and upskilling opportunities.