About The Opportunity

The Data Architecture Manager will be a key leader within the Data Engineering team responsible for overseeing the enterprise data modeling (designs) for Pie’s data and information, leveraging best practice principles for securing, storing, and reporting on business data.  It will be the Data Architecture Manager’s responsibility to ensure data systems integrate well with data solutions, modeling, and analytics initiatives. 

You will lead a team of data architects that is responsible for partnering and consulting with:

• Portfolio teams in all areas related to data design. 
• Business teams to help them articulate their business questions and translate them into meaningful information structures. 
• Data governance teams to understand & manage data assets.
• Platform security team to help assure security best practices are part of our data system designs.

This position requires a technical leader who is eager to drive a strong engineering vision and can scale the technology while fostering a collaborative, inclusive culture and should have an overall desire to help develop team members along their career path. 

How You’ll Do It

• A hands-on leader who oversees data migrations, data governance initiatives, and data management and architecture projects 
• Translates business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
• Provides guidance to the data architecture team to successfully complete projects. Guidance includes – scoping business questions, data mining, statistical models, customer segmentation, pricing analytics and presentation of insights
• Ensures the team aligns with Pie and the Technology Team’s OKRs, adheres to proper unit and regression testing and coding standards
• Collaborates and coordinates with multiple departments, stakeholders, partners, and external vendors
• Leads efforts to build industry-standard data models for analysis and business consumption, and implements best-practices and procedures for datastore performance and scale across organization
• Designs modern architectures where raw data is transformed into high-performance information, and translates business needs into structure that fits the data/information flow within the organization

The Right Stuff

• Bachelor’s degree in Mathematics, Engineering, Economics, Computer Science, or related field with 6+ years of engineering experience, architecting and building high-performance and scalable data warehouses with an emphasis on modeling data for business consumption, and managing  data privacy/governance
• 3+ years of experience leading a technical team on deliverables and/or project functions/areas with a strong desire to mentor, coach, and develop engineers
• Knowledge of data engineering concepts: data schemas, blob storage, relational databases, ETL/ELT pipelines
• Solid understanding of data structures, query design, data modeling,  and extensive experience with SQL across multiple platforms
• An understanding of next-generation data lakes with experience supporting both operational and analytical data stores
• An understanding of microservices architecture and the underlying data strategies associated (such as data mesh) to enable analytics at scale while eliminating data silos
• Apply a test-and-learn mindset to data architecture with experimentation of different components and concepts
• Ability to analyze business requirements in various business functional areas and translate them into conceptual, logical and physical data models
• Demonstrated ability to work with geographically distributed team members
• An understanding of the insurance industry and products is a plus

Base compensation range for position: $175,000 - $235,000