Telefónica Tech

Data Platform Architect

Telefónica Tech

full-time

Posted on:

Location Type: Remote

Location: United Kingdom

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Tech Stack

AWSAzureCloudInformaticaVault

About the role

  • 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

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
  • Experience in Azure and/or AWS
  • 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 programs
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data solutionsAI solutionsdata platform methodologiesdata architecturedata engineeringdata modelingdata strategydata governancedata visualizationdata science
Soft Skills
strategic decision-makingoperational decision-makinginfluencing skillswillingness to learnmentoringcommunicationengagement with stakeholdersproblem identificationguidanceadaptability
Certifications
Databricks Certified AssociateDatabricks Certified ProfessionalDatabricks Partner Solution Architect ChampionMicrosoft Azure Certifications – Data EngineeringMicrosoft Azure Certifications – AIMicrosoft Azure Certifications – Solution Architecture