Global Atlantic Financial Group, a leading insurance company and KKR subsidiary, is seeking an AVP, Data Engineer to join their team. This role represents an exciting opportunity to work at the intersection of finance and technology, helping to shape the company's data infrastructure and strategy.
The position requires a seasoned professional with 10 years of IT experience and deep expertise in data engineering. You'll be responsible for designing and implementing sophisticated data solutions that power the company's business intelligence and data migration initiatives. The role combines technical leadership with strategic thinking, as you'll work closely with business stakeholders to align technical solutions with business objectives.
As an AVP, Data Engineer, you'll be working with cutting-edge technologies including Hadoop, Spark, Python, and Java, building and optimizing data pipelines that handle large-scale data processing. The position offers exposure to both batch and streaming applications, providing opportunities to work with diverse data challenges in a financial services context.
Global Atlantic offers a comprehensive benefits package including health, retirement, and life insurance plans, demonstrating their commitment to employee well-being. The company's culture emphasizes work-life balance and professional growth, backed by their status as a subsidiary of KKR, a leading global investment firm.
The role is based in Boston, MA, with an in-person work arrangement, offering a competitive salary range of $177,341-$178,200. This position is ideal for a data engineering professional who wants to make a significant impact in a financial services organization while working with enterprise-scale data systems and modern technologies.
The company's strong focus on integrity, teamwork, and building long-term relationships creates an environment where technical expertise can be applied to meaningful business challenges. Their commitment to diversity, equity, and inclusion, combined with their comprehensive benefits package, makes this an attractive opportunity for professionals looking to advance their careers in data engineering.