AVP - IT Senior Data Architect

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COMPANY OVERVIEW

Global Atlantic Financial Group is a leader in the U.S. life insurance and annuity industry, serving the needs of individuals and institutions. Global Atlantic is a majority-owned subsidiary of KKR, a leading global investment firm that offers alternative asset management across multiple strategies and capital markets solutions.

Global Atlantic is looking for a diverse team of talented individuals who reinforce our culture of collaboration and innovation. We are dedicated to the career development of our people because we know they are critical to our long-term success. Join our team and come grow with us. 

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POSITION OVERVIEW

Summary: The IT Senior Data Architect will expand and optimize the data and data pipeline architecture, as well as optimize data flow and collection for cross functional teams. The senior data architect will perform data architecture analysis, design, development and testing to deliver data applications, services, interfaces, ETL processes, reporting and other workflow and management initiatives. The role will work closely with the business, data analysts and IT teams to support on data strategy initiatives and will ensure optimal data delivery architecture is consistent throughout the strategy. The role also will follow modern SDLC principles, test driven development and source code reviews and change control standards in order to maintain compliance with policies. This role requires a highly motivated individual with strong leadership capability, technical ability, data capability, excellent communication and collaboration skills including the ability to develop and troubleshoot a diverse range of problems.

Responsibilities

• Design and develop enterprise data / data architecture solutions using Hadoop and other data technologies like Spark, Scala, Python, SQL etc.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Create and maintain optimal data pipeline architecture.
• Devise, Lead and execute continual improvement initiatives in all Data Management Service delivery and technology, with a focus on delivery velocity and quality.
• Partner with business leaders to determine and prioritize delivery initiatives.
• Define or influence system, technical and application architectures for major areas of development.
• Devise, Lead and execute in software development life cycle including requirements gathering, development, testing, release management, and maintenance.
• Engage with business partners to report (formally and informally) on technology strengths, weaknesses, successes, and challenges on a regular basis.
• Ability to do analytical programming in EDW architecture to bridge the gap between a traditional DB architecture and a Hadoop centric architecture.
• Highly organized and analytic, capable of solving business problems using technology.
• Ensure appropriate change management and other technology methodologies are carried out on a consistent basis over time.
• Should be an individual with in-depth technical knowledge and hands-on experience in the areas of Data Management, BI Architecture, Product Development, RDBMS and non-RDBMS platforms.
• Should have excellent analytical skills, able to recognize data patterns and troubleshoot the data.
• Will be responsible for design and delivery of data solutions to empower data migration initiatives, BI initiatives, dashboards development etc.

QUALIFICATIONS

• Undergraduate degree required, MBA or other advanced degree preferred.
• 12+ years of experience as a member of an information technology team.
• Minimum of 3-5 years of relevant experience architecting the complete end to end design of enterprise-wide solution using latest technologies – Hadoop, Spring boot/Spring Cloud, Rest API, SQL
• Minimum of 5-7 experience in SQL Python, Core Java, Cloudera, AWS, Rest API, Microservices, Spring Boot, Spring cloud etc.
• Ideally a strong Life Insurance background.
• Experience with data modeling, complex data structures, data processing, and data quality and data lifecycle
• Advanced working SQL knowledge and experience working