AVP, Data Engineer

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 wholly-owned subsidiary of KKR, a leading global investment firm that offers alternative asset management across multiple strategies and capital markets solutions. 

We are 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. 

The KKR-Global Atlantic partnership - The Global Atlantic Story 

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COMPANY OVERVIEW

 Global Atlantic Financial Company (a subsidiary of Global Atlantic Financial Group Limited) is a financial services company focused on the annuity, life insurance and reinsurance markets. Through its family of brands — including Forethought, Accordia Life and Commonwealth Re — Global Atlantic offers a broad range of retirement and protection products, as well as reinsurance solutions.  Global Atlantic was founded at Goldman Sachs in 2004 and separated as an independent company in 2013. The company today has nine offices and over $40 billion in assets.

Global Atlantic offers employees the unique opportunity to work in a fast-paced, collaborative and meritocratic working environment. The Company’s unique entrepreneurial culture encourages all employees to assume significant levels of responsibility. Global Atlantic invests in its people because it believes they are critical to the long term success of its business.

POSITION OVERVIEW

Global Atlantic Financial Company (a subsidiary of Global Atlantic Financial Group Limited) is seeking a candidate for the position of Associate Data Architect.  Responsibilities include:

• Associate Data Architect in the Data Engineering team, responsible for building architecture and providing solutions for the business.
• Design and develop enterprise data and data architecture solutions using Java, J2EE, Hadoop and other data technologies like Spark, Scala, Python, and SQL.
• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Create and maintain optimal data pipeline architecture.
• Devise 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 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.
• Perform analytical programming in Enterprise Dataware house (EDH) architecture to bridge the gap between a traditional database architecture and a Hadoop centric architecture.
• Ensure appropriate change management and other technology methodologies are carried out on a consistent basis over time.
• Responsible for design and delivery of data solutions to empower data migration initiatives, business intelligence initiatives, and dashboards development.
• Take care of data requirements, such as addressing ad hoc requests in a timely and professional manner for Risk and Finance division and coordinating with business stakeholders.
• The expected annual base salary for this New York, New York, United States-based position is $168,854 to $209,309.

QUALIFICATIONS

• Bachelor’s degree (U.S. or foreign equivalent) in Information Technology, Computer Science, Data Science, Information Systems, or a related technical field plus ten (10) years of experience in an information technology related role.
• Prior experience must include three (3) years of experience in each of the following:
  • Working in the areas of Data Management, Business intelligence Architecture, Product Development, Relational Database management systems (RDBMS), and non-RDBMS platforms.
  • Recognizing data patterns and troubleshooting the data.
  • Architecting the complete