Senior Data Engineer

COMPANY OVERVIEW

Global Atlantic Financial Group is a leading insurance company meeting the retirement and life insurance needs of individuals and institutions. With a strong financial foundation and risk and investment management expertise, the company delivers tailored solutions to create more secure financial futures. The company's performance has been driven by its culture and core values focused on integrity, teamwork, and the importance of building long-term client relationships. Global Atlantic is a wholly-owned subsidiary of KKR, a leading global investment firm. Through its relationship, the company leverages KKR's investment capabilities, scale and access to capital markets to enhance the value it offers clients. KKR's parent company is KKR & Co. Inc. (NYSE: KKR).

The Global Atlantic & KKR Partnership Story

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POSITION OVERVIEW

The Senior Data Engineer 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 Engineer 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 technical ability, data capability, excellent communication and collaboration skills including the ability to develop and troubleshoot a diverse range of problems. This role can work out of New York City, Hartford, or Boston.

Responsibilities

• Design and develop enterprise data / data architecture solutions using AWS Glue, Lambda and other data technologies like Spark, Scala, Java, Python, SQL etc.
• Design and develop machine learning algorithms and AI models for business requirements.
• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
• Run machine learning tests and experiments, and document findings and results.
• Train, retrain, and monitor machine learning systems and models as needed .
• Assemble large, complex data sets that meet functional / 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.
• 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:

• At least 8 to 10 years of overall IT experience and 3 years’ relevant experience in design and development complete end-end to design of enterprise-wide big data solution, Machine Learning Algorithms
• Master’s in data science preferred, Bachelor's degree in computer science or related field required
• Design and Develop big data solutions using Spark, Scala, AWS Glue etc.
• Strong Analytical and Leadership skills
• Strong ML experience
• AWS Glue and Lambda experience is must 
• Application development experience in Scala/ Python /
• Strong Database SQL experience preferably Redshift
• Highly organized and analytic, capable of solving business problems using technology.
• This role is currently not eligible for visa sponsorship now or in the future

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Various jurisdictions have passed pay transparency laws that require companies provide salary ranges for any positions for which they are accepting applications. Global Atlantic has offices in Atlanta, Batesville, Bermuda, Boston, Des Moines, Hartford, Indianapolis, and New York City. The base salary range posted below is inclusive of the lowest cost of living geography to the highest in which we have a Global Atlantic office. 

Global Atlantic’s base salary range is determined through an analysis of similar positions in the external labor market. Base pay is just one component of Global Atlantic’s total compensation package for employees and at times we hire outside the boundaries of the salary range. Other rewards may include annual cash bonuses, long-term incentives (equity), generous benefits (including immediate vesting on employee contributions to a 401(k), as well as a company match on your contributions), and sales incentives.  Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Compensation for our more senior positions have a larger component of short-term cash bonus and long-term incentives. 

TOTAL REWARDS STATEMENT 

Global Atlantic’s employees thrive in a fast-paced, high-performing culture with strong benefit options and wellbeing resources that support innovation, accountability and stewardship. At Global Atlantic, being an employer of choice means we are committed to offering employees a customizable and comprehensive benefits package. Global Atlantic’s total rewards package is reflective of our corporate values, particularly diversity, excellence and innovation, with a focus on inclusion, pay equity, and flexibility. We strive to foster a culture of total well-being through community outreach and charitable giving programs. Click HERE to learn more about our charitable giving programs.

Our highly competitive health, retirement, life and disability plans can be tailored to best suit your needs and those of your whole family. Global Atlantic was proudly named: Best in Perks & Benefits, Best Company Work-Life Balance, Best Company Happiness and Best Company Compensation. Learn more about our Benefits offerings.

Global Atlantic is committed to creating an inclusive environment where everyone can meaningfully contribute to our success. We are proud to be an equal opportunity employer, and we do not discriminate in employment on any basis that is prohibited by federal, state or local laws.  More than that, we strive to be inclusive of all backgrounds and experiences, which we feel gives us a competitive advantage in the market and within our firm. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. Find out more about GA’s commitment to creating a culture of belonging: DE&I and Strategic Pillars

Employees who require an accommodation to perform the essential functions of their job will participate in an interactive process which may include providing documentation. If you require an accommodation during the hiring process or after you are hired for any protected status under the ADA, please email [email protected].

Discover more about Global Atlantic below:

2023 Corporate Responsibility Report

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Global Atlantic Privacy Statement

Our employees are in the office 4 - 5 days per week in Hudson Yards, NY and 3-4 days per week in all other offices. If you have questions on this policy or the application process, please reach out to [email protected]

Global Atlantic reserves the right to modify the qualifications and requirements for this position to accommodate business needs and regulatory changes. Future adjustments may include obtaining specific licenses or certifications to comply with operational needs and conform to applicable industry-specific regulatory requirements, state and federal laws.