Data Architect

17 Oct 2024

Vacancy expired!

Job Role: Data Architect

Duration: 6+months Contract

Location: NYC (Remote till covid)

Job SummaryChief Data Office (CDO) is seeking an Solution Architect to be part of a team supporting all business and support functions across customer for a wide range of cloud based big solutions. This is a formative opportunity to influence and innovate as part of the new CDO function. In this role, the solution architect will partner across business, technology, enterprise architecture and operations to design and act as a subject matter expert for Fitch’s new cutting-edge cloud data platform.

Primary Responsibilities
  • Lead the technical architecture effort for our next generation cloud data platform
  • Partner with platform teams to design and deploy a cloud big data platform that is fit for purpose and in line with business goals and objectives
  • Contribute towards the definition and SDLC adoption of strategic enterprise platform architecture standards including partnering with Data Architecture on naming and modelling standards supporting data at rest (logical and physical models) and data in motion (messaging, API’s)
  • Develop platform standards for how integrations are developed, and how features are developed within the ecosystem
  • Provide design and technical support for application teams that are re-architecting legacy/batch data solutions into more modern, event-based technical solutions for on-prem and the public cloud (AWS)
  • Provide support to enterprise application teams to define re-usable critical cloud technologies

Qualifications
  • 10+ years’ experience as a cloud database engineer/architect with a proven track record of delivery
  • Expertise with AWS infrastructure such as S3, Redshift, and Athena required
  • Hands-on experience as a database developer and/or administrator is a must – from initial logical design to physical deployment, for both new build and change management
  • Working experience with Data Management and Governance solutions (i.e. Data Warehousing, Data Lakes and Reservoirs) in both relational technologies (e.g. Oracle) and no-SQL solutions (Hadoop) for both on-prem and cloud (AWS) deployments required
  • Experience creating and supporting enterprise-level big data platform architecture is required
  • Strong communication, presentation, and interpersonal skills for interacting and collaborating with other leaders and associates throughout the organization
  • Team-oriented, with proven ability to work well and collaborate globally across multiple and disparate teams
  • Bachelor’s or master’s degree in Systems Engineering, Computer Science or similar technical discipline