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Data Platform Architect

Backend EngineerSoftware EngineerFull TimeRemoteSeniorTeam 1,001-5,000H1B No SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

45 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishAzureCloudInformaticaVault

Job Description

Data Platform Architect

Telefónica Tech

• Acting as a trusted advisor and thought leader for key, strategic customers • Acting as a technical authority within customers to advise them on complex technical issues • Triaging customer requirements/use cases and assembling the right team of experts to deliver • Engaging with senior customer stakeholders to steer their data platform strategy in alignment with business needs • Lead data delivery project work • Technical presales engagements • Document enterprise data architectural designs

Job Requirements

  • Experienced in the delivery of complex data & AI solutions
  • Strategic and operational decision-making skills
  • Ability to guide, direct or influence people
  • Ability to identify opportunities and issues
  • Willingness to learn based on feedback
  • Able to help others develop
  • Willingness to stay up to date with the latest trends, technologies and best practices
  • Experience working within agile, fast-moving environments
  • Understanding of data platform methodologies and architecture approaches (Kimball, Inmon, Data Vault, Data Mesh, Data Products, Lakehouse's, etc)
  • The ability to document architectural designs in the form of conceptual, logical and physical models
  • Ability to discuss enterprise data and the impact on a business including master data management, data quality, data literacy and initiatives such a single customer view
  • Ability to present technical solutions in a way that engages both technical and non-technical stakeholders
  • Deep technical experience (multiple, complex solutions delivered) in at least 1 of the following: Azure Databricks, Microsoft Fabric, Azure Synapse Analytics, Public Cloud
  • Subject matter expertise in at least 3 of the following areas: Data Engineering, Data Modelling, Data Strategy / Governance, Data Visualisation, Data Science / AI, DevOps / Cloud Infrastructure, Application Development
  • Experience of TOGAF, DAMA or a similar architectural framework (nice to have)
  • Experience of data management tools such as Purview, CluedIn, Collibra, Informatica or Profisee
  • Certifications (Nice to have): Databricks Certified Associate / Professional, Databricks Partner Solution Architect Champion, Microsoft Azure Certifications – Data Engineering, AI, Solution Architecture

Benefits

  • Inclusion and diversity initiatives
  • Employee resource groups promoting various backgrounds and identities
  • Flexible working arrangements
  • Professional development opportunities

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