CoreLogic - Dallas, TX

posted 3 months ago

Full-time - Principal
Dallas, TX
1,001-5,000 employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

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. This role is crucial as it powers CoreLogic's customer-facing products across the Real Estate, Mortgage, and Insurance business segments. The Principal Data Architect will have a deep understanding of and be able to articulate the following areas at CoreLogic: Data Strategy, Data Assets, and Principles and Patterns of Data Solution Architecture. The Principal Data Architect will perform several key functions. In the Discovery & Framing phase, they will collaborate with Product Owners and Business Subject Matter Experts (SMEs) to understand business problems and opportunities that are often ambiguous at the outset, framing logical problems that can be addressed through technology. In the Solution Formulation phase, they will work alongside 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 will also articulate the data solution capabilities and value propositions to business stakeholders and internal and external customers. In terms of Data Solution Architecture, the Principal Data Architect will create solution architectures that align with CoreLogic's technology stack, Information Security policies, and Compliance Standards. They will be responsible for Data Modelling, creating logical and physical data models that may be highly complex and span diverse, distributed data platforms, including relational databases, object-based data stores, and NoSQL data stores. The role also involves Solution Development, where the Principal Data Architect will perform hands-on development for Proof of Concept (POC) and pilot solutions, guiding various teams of engineers to implement the solutions at scale. They will review code and ensure adherence to standards of high performance, scalability, and security. Additionally, the Principal Data Architect will act as a liaison with CoreLogic's larger Technology Solutions, InfoSec, Data Governance, and Data Quality organizations, providing ongoing Data, Technology, and Architecture governance across projects in the Advanced Data Solutions group. They will also 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 that can be addressed through technology.
  • Conceptualize and articulate technology solutions in line with CoreLogic's Data Strategy.
  • Create solution architecture that aligns with CoreLogic's technology stack and compliance standards.
  • Develop logical and physical data models across diverse data platforms.
  • Perform hands-on development for POC and pilot solutions.
  • Guide teams of engineers to implement solutions at scale.
  • Review code to ensure adherence to performance, scalability, and security standards.
  • 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 as a Data Architect.
  • 8+ years of experience 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 with both relational and NoSQL databases in production-grade systems.
  • Experience with 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 Data Visualization tools such as Tableau, Looker, PowerBI, and spatial data visualization using QGIS.

Benefits

  • Competitive salary and benefits package.
  • Empowered work environment that encourages creativity and professional growth.
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