First American Financial - Irvine, CA

posted 2 months ago

Full-time - Principal
Irvine, CA
1,001-5,000 employees
Insurance Carriers and Related Activities

About the position

At CoreLogic, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity, and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills, and directly impact the real estate economy. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up, and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. CoreLogic is looking for a hybrid-remote Principal Data Architect to play an overarching role in building, enhancing, scaling, and accelerating various Data Products offered internally by CoreLogic's Data, Science & Analytics group, that in turn power CoreLogic's customer-facing products across the Real Estate, Mortgage, and Insurance business segments. The Principal Data Architect has a deep understanding of, and is able to articulate the following areas at CoreLogic: Data Strategy, Data Assets, and Principles and patterns of Data Solution Architecture. The Data Architect performs the following key functions: Discovery & Framing, where they collaborate with Product Owners and Business SMEs to understand business problems and opportunities that are often ambiguous to begin with, and frame logical problems addressable through technology. In Solution Formulation, they collaborate with Geospatial science, data science, and technology professionals to conceptualize and articulate technology solutions in line with CoreLogic's Data Strategy, leveraging CoreLogic's Data Assets. They also create solution architecture that aligns with CoreLogic's stack, Infosec policies, and Compliance Standards. Additionally, the role involves Data Modelling, where the architect creates logical and physical data models that may be highly complex and across diverse, distributed data platforms, including relational databases, object-based data-stores, and NoSQL datastores. They perform hands-on development for POC, pilot solutions, and guide various teams of engineers to implement the solutions at scale, ensuring adherence to standards of high performance, scalability, and security. The architect acts as a liaison with CoreLogic's larger Technology Solutions, InfoSec, Data Governance, and Data Quality organizations in providing ongoing Data, Technology, and Architecture governance across projects in the Advanced Data Solutions group. Finally, they design and leverage analytical dashboards to tell data-driven success stories of CoreLogic's data products.

Responsibilities

  • Collaborate with Product Owners and Business SMEs to understand business problems and opportunities.
  • Frame logical problems addressable through technology.
  • Conceptualize and articulate technology solutions in line with CoreLogic's Data Strategy.
  • Create solution architecture that aligns with CoreLogic's stack, Infosec policies, and Compliance Standards.
  • Create logical and physical data models across diverse, distributed data platforms.
  • Perform hands-on development for POC and pilot solutions.
  • Guide teams of engineers to implement solutions at scale.
  • Act as a liaison with Technology Solutions, InfoSec, Data Governance, and Data Quality organizations.
  • Design and leverage analytical dashboards to tell data-driven success stories.

Requirements

  • Bachelor's degree in Computer Science or a related field.
  • Expertise with Python and Java or Scala.
  • 15+ years of working in Technology; 7+ years of experience working as a Data Architect.
  • 8+ years of experience working in Big Data technologies such as Spark, PySpark, HDFS, Hive.
  • Awareness of the fundamentals of Geospatial data and spatial data engineering.
  • SQL proficiency is a must.
  • Experience working with both relational and NoSQL databases in production-grade, mission-critical systems.
  • Experience with one or more major Clouds, leveraging both IaaS and PaaS offerings focused on Data Engineering.

Nice-to-haves

  • Master's degree in Computer Science or related field.
  • Experience with Google Cloud, especially Data related PaaS offerings such as BigQuery, DataProc, DataFlow, AirFlow.
  • Experience with one or more Data Visualization tools such as Tableau, Looker, PowerBI, and spatial data visualization using QGIS.

Benefits

  • Competitive salary and benefits package.
  • Diverse and inclusive work environment that embraces unique contributions.
  • Opportunities for professional growth and development.
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