Senior Data Architect

Industry: Accounting, Finance & Insurance

  •  

8 - 10 years

Posted 72 days ago

This job is no longer available.

Description

The Hartford’s Enterprise Data Office (EDO) goal is to achieve greater business value through the use of data by simplifying the architecture, standardizing process and tools and building a data culture across the enterprise. Data Strategy & Architecture (DSA) Practice within the Chief data office is looking for a Senior Data Architect. “The Data Strategy and Architecture organization is The Hartford’s trusted data advisor, guiding the transformation of data into customer value by understanding what is possible, determining what is feasible, and helping make it real.” Responsibilities include:• Develops data architecture plans and drives the plans to fruition in collaboration with Data Owners and Solution Architects, Technology Leads & Data modelers•Defines and enforces data architecture standards, procedures, metrics, and policies to ensure consistency and adherence processes and ensure that is operational•Translate advanced business analytics problems into technical and data design approaches that yield actionable recommendations, across multiple, diverse domains; Creates, maintains, and communicates current and target state data architecture for data domains within an assigned subject area•Guides application development teams in the data design of complex solutions and ensures that teams are in alignment with the data architecture principles, standards, strategies, and target states.•Facilitates the transition from high level design and supports the project lifecycle with input from management where needed.

Qualifications

  • 8-10 +years of relevant professional experience; undergraduate degree preferred.
  • Robust Data Architecture skills - sets direction for and possesses a deep understanding of data architecture patterns which integrate with industry trends.
  • Experience in data management, data warehousing, data modeling, and business intelligence, and/or master data management, metadata management concepts and ETL frameworks.
  • Experience with reporting /data visualization tools.
  • Experience in Agile development processes.
  • Experience with large-scale, Hadoop big data methods, such as Spark, Scala, NiFi,
  • Experience with NOSQL technologies and Talend, Apache NiFi.
  • Experience with AWS Cloud based data storage and processing technologies
  • Strong experience with SQL Server and /or Oracle or any other database platforms.
  • Portfolio delivery experience: engages in the full lifecycle experience, from planning to delivery and management of the solution lifecycle to produce solution designs that are viable and can be successfully constructed, implemented, operated and managed.
  • Ability to independently learn new technologies and data related approaches.
  • Effective writing and presentation skills.

PREFERRED QUALIFICATIONS

  • Previous experience working in the Insurance industry is nice to haveWhat criteria do we use to Assess, Hire, Develop & Reward our workforce?
  • Data Analysis- Input, understand, analyze and act on data
  • Business Owner Mindset- Operate with keen business knowledge, expense, risk & controls driven mindset
  • Communication- Influence through a consultative approach
  • Customer Driven- Focus on “Harvest” – (our enterprise continuous improvement effort), innovative problem solving, and efficient local decision making for continuous improvement

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression

1900274