Director, Data Engineer
, CT, United States
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
Strategic Analytics is a growing team at Arch that has established itself as a driving force in how the business is run. This is achieved through the implementation of real-time predictive analytic solutions that move the company forward. Our track record is 100% adoption of our tools and services. Data plays a critical role in our mission. We create best-in-class data solutions from internal and external sources by leveraging a diverse set of cloud technologies like Snowflake, the Azure tech stack, Databricks and Python.
As Manager of Strategic Analytics Services, you will implement complex data pipelines that put analytics at the heart of decision-making. You will work closely with leaders across the company on high-profile analytics projects that drive business strategies. As a key member of the data engineering team, you will extend our capacity to deliver and push the team forward.
Responsibilities
Work with strategic partners to solve business problems by directing junior employees to develop best-in-class data solutions
Manage data engineering throughout the project lifecycle
Build strong partnerships with peers across the organization to support data-related goals
Proactively design intuitive data structures by anticipating analytic needs
Explore new technologies and data sources with curiosity and creativity
Leverage technology to automate data ingestion and link external and internal data
Provide the appropriate documentation of sources and technical solutions
Desired Skills
Demonstrated experience building data structures to support analytics/research/actuarial functions in an insurance company setting
Experience with cloud technologies like Snowflake and Databricks
Familiarity with the MLOps framework
Ability to operate independently – managing tasks and engaging people across the team
Exceptional collaboration and relationship building skills
Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces
Strong data manipulation skills for analytics
Resilient problem solving and critical thinking skills
Thorough understanding of data warehousing concepts and design
Ability to communicate effectively to different target audiences
Flexibility – able to meet changing requirements and priorities
Required Skills
4+ years of data engineering experience
2+ years of project management experience
Education
College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.
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