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Principal Data Architect

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CoreLogic

Aug 2

  • Job
    Full-time
    Expert / Leadership (9+ years)
  • Dallas
  • Quick Apply

AI generated summary

  • You must have a degree in Computer Science, 10+ years in tech with 4+ as a Data Architect, Big Data skills, SQL proficiency, Cloud experience, and knowledge of geospatial data.
  • You will collaborate with stakeholders to identify problems, design complex data solutions, create data models, guide development, ensure governance, and visualize data success stories.

Requirements

  • Bachelor's degree in Computer Science, or a related field
  • Expertise with Python and Java OR Scala
  • 10+ years of working in Technology; 4+ 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 of working with both relational and NoSQL databases in production-grade, mission-critical systems
  • Experience with one or more major Clouds, leveraging both IaaS as well as PaaS offerings focused on Data Engineering
  • Master's degree in Computer Science or related field (Preferred)
  • Experience with Google Cloud – especially Data related PaaS offerings such as BigQuery, DataProc, DataFlow, AirFlow (Preferred)
  • Experience with one or more Data Visualization tools such Tableau, Looker, PowerBI, and spatial data visualization using QGIS (Preferred)

Responsibilities

  • Discovery & Framing: Collaborates with Product Owners, Business SMEs to understand business problems and opportunities that are often ambiguous to begin with, and frames logical problems addressable through technology.
  • Solution Formulation: Collaborates 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. Articulates to business stakeholders, and internal and external customers the data solution capabilities and value props.
  • Data Solution Architecture: Creates solution architecture that aligns with CoreLogic’s stack, Infosec policies and Compliance Standards.
  • Data Modelling: Create 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.
  • Solution Development: Performs hands-on development for POC, pilot solutions and guides various teams of engineers to implement the solutions at scale. Reviews code and ensures adherence to standards of high performance, scalability and security.
  • Technology Governance: Acts as a liaison with CoreLogic’s larger Technology Solutions, InfoSec, Data Governance, Data Quality organizations in providing ongoing Data, Technology and Architecture governance across projects in the Advanced Data Solutions group.
  • Story telling: Designs, and leverages analytical dashboards to tell data driven success stories of CoreLogic’s data products.

FAQs

Do we support remote work?

Yes, we do remote work but in a hybrid format.

What is the role of a Principal Data Architect at CoreLogic?

The Principal Data Architect plays an overarching role in building, enhancing, scaling, and accelerating various Data Products within CoreLogic's Data, Science & Analytics group.

What qualifications are required for this position?

A Bachelor's degree in Computer Science or a related field, expertise with Python and Java or Scala, and at least 10 years of experience in Technology with 4 years specifically as a Data Architect are required.

What kind of technologies will I be working with?

You will work with Big Data technologies like Spark, PySpark, HDFS, Hive, as well as both relational and NoSQL databases, and various Cloud services focusing on Data Engineering.

Is experience with geospatial data important for this role?

Yes, awareness of geospatial data and spatial data engineering is an important qualification.

What are some preferred qualifications that may help my application?

A Master's degree in Computer Science or a related field, experience with Google Cloud services, and familiarity with data visualization tools like Tableau or Power BI are preferred.

What is the annual pay range for this position?

The annual pay range for the Principal Data Architect position is between $132,600 and $165,000 USD.

Does CoreLogic promote diversity in the workplace?

Yes, CoreLogic is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone's unique contributions and experiences.

Will I have the opportunity for hands-on development in this role?

Yes, the Principal Data Architect will perform hands-on development for proof of concept and pilot solutions and guide engineering teams in implementing those solutions at scale.

How can I apply for this position?

Please apply on our website for consideration.

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CoreLogic

Technology
Industry
5001-10,000
Employees

Mission & Purpose

With boundless passion and commitment, our 5,000+ team members share a singular focus: to help millions of people find, buy, and protect the homes they love. As a leading provider of gold standard data, analytics and platforms, CoreLogic enables real estate professionals, financial institutions, insurance carriers, government agencies and other housing market participants to help people make their dream of homeownership a reality. From our unmatched network of trusted relationships to technical innovations to the insights and foresight that comes with deep experience and collaboration, we offer unrivaled intelligence in the property industry. CoreLogic connects critical touch points for a seamless and superior home-ownership journey powered by accurate, comprehensive, and up-to-date data. This is our passion and our commitment.