Sr. Data Architect - Mexico City, México - Edenred

    Edenred
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    De jornada completa
    Descripción

    Take a step forward and let Edenred surprise you.

    Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world.

    We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment.

    Dare to join Edenred and get ready to thrive in a global company that will offer you endless opportunities.

    Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognizes, recruits and develops all talents and singularities.

    We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria.

  • Definition of business standards, data management processes and data architecture frameworks.
  • Develop the company's conceptual and logical data models for analytical, operational and data structures according to industry best practice models.
  • Oversee the organization's overall data architecture, define the data architecture strategy; design and implement architectures such as for Data Warehouse, master data/reference data, data integration, and transaction processing.
  • Work with database management teams/data architects and analysts to help establish standards and strategies.
  • Help maintain assessment and inventory of the existing data environment at the enterprise level.
  • Design and develop a strategy for data storage both in on-prem and cloud-based solutions.
  • Determine the feasibility of a Data-as-as-Service model for diverse projects.
  • Assist with the review and approval of major projects and business solution deliverables from a data architecture standpoint.
  • Document data pipeline procedures or queries for metadata and reference data cases
  • Familiarity with commercial CMBDs for issue tracking and deliverable documentation.
  • Use programming languages (like Python, C#, etc) to code, test, and troubleshoot data architecture applications.