Manager, Software Engineering (Data Lakehouse)

Manager, Software Engineering (Data Lakehouse)

 

Acrisure Innovation is where human expertise meets advanced technology.

Acrisure Innovation is a fast paced, AI-driven team building innovative software to disrupt the $6T+ insurance industry.  Our mission is to help the world share its risk more intelligently to power a more vibrant economy. To do this, we are transforming insurance distribution and underwriting into a science. 

At the core of our operating model is our technology: we’re building a digital marketplace for risk and applying it at the center of Acrisure, a privately held company recognized as one of the world's top 10 insurance brokerages and the fastest growing insurance brokerage globally. By leveraging technology to push the boundaries of understanding and transferring risk, we are systematically converting data into predictions, insights, and choices, and we believe we can remove the constraints associated with scale, scope, and learning that have existed in the insurance industry for centuries.

Our culture is strong. We are a collaborative company of entrepreneurial, innovative, and talented people who believe in our future. We outthink and out work the competition. We look outside our walls and are energized by our fast-paced trajectory.

Our vision for the future is clear. We have limitless potential to achieve unprecedented success in the insurance industry. To achieve our opportunity, a best-in-class Team must support us.

Learn more about Acrisure Innovation: https://builtin.com/company/acrisure-innovation

The Role

As a Software Engineering Manager within Acrisure Innovation, you’ll be an essential part of the team building a world-class data lakehouse platform, architecture, and content to transform Acrisure’s business strategy.  This is a cross functional leadership role that involves collaborating with the product team, analytics teams, other engineering leaders and stakeholders. 

The Software Engineering Manager is responsible for overseeing people, resources and processes necessary to deliver on achieving data enablement goals. The role also includes providing input to strategic planning for forward looking initiatives.

Our Data Lakehouse is built upon a Google and Microsoft hybrid cloud tech stack. We are building a digital marketplace technology that runs on Google Cloud and is configured with Kubernetes, leveraging various services in that environment. Our data storage layer includes BigQuery, Databricks, Azure, and Postgres. We code primarily in Spark, Scala, Python, Kotlin, Java, and JavaScript and make use of many frameworks including Dataflow, Apache Airflow, Apache Spark, dbt, Delta Lake, Apache Iceberg, Cloud AI Platform, Spring, and React.

Here are some of the ways in which you’ll achieve impact:

• Expand, evolve, and mature Acrisure’s Data Lakehouse platform, architecture, tooling, and content to empower data adoption at Acrisure.
• Provide career development and growth opportunities for team members while developing a culture of accountability. 
• Align key stakeholders around the vision and requirements for projects.
• Drive improvements to quality, resilience and scale through both process and technology using a data driven approach.
• Attract, develop and retain top talent for the engineering organization. Includes recruiting and interviewing candidates.

You may be fit for this role if you:

• Have a Bachelor’s or Master’s degree in Computer Science or a related field with a strong knowledge of computer science fundamentals and engineering principles.
• Have 5+ years of industry experience as technical contributor on data platforms including 2+ years of experience being a technical lead
• Have expertise with modern software tools, libraries, and languages, with experience delivering production code at scale.
• Are product and customer focused, with a passion for delighting the end user.
• Possess empathy, kindness towards others, a positive attitude, and self-awareness.
• Are willing and able to work from the headquarters in Austin, Texas.
• Are excited to work for an early stage company to experiment, discover product-market fit and are focused on maximizing business impact. 

It’s not expected that any single candidate would have expertise across all of these areas. If you are a solid engineer and eager to work on data or insurance related platforms/products, we are eager to talk to you.

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