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Wavestone

The Positive Way

Data Architect

ArchitectArchitectContractRemoteLeadTeam 1,001-5,000Since 2015H1B SponsorCompany SiteLinkedIn

Location

Germany

Posted

19 days ago

Salary

0

Seniority

Lead

Professional Certificate8 yrs expGermanEnglishAirflowApacheAzureBigQueryCloudETLInformaticaITSMKafkaTableau

Job Description

Data Architect

Wavestone

• Analyze the current state, define target architectures (business, data and technology layers) and derive a long-term roadmap for data management and data usage • Design, implement and roll out governance models, RACI/responsibility matrices, policies, processes and KPIs to ensure data quality, data security and compliance • Identify and document data and metadata standards (naming conventions, data models, interfaces, quality metrics) and communicate them and provide training across the organization • Select and integrate technologies (data lake, data warehouse, streaming, master data management, data catalog, cloud services) and build scalable, resilient and performance-optimized platforms • Support project teams in implementing data science, reporting and integration projects, ensure alignment with governance policies and conduct architecture reviews • Define roles, responsibilities and training programs, coach business units and IT teams and promote a data-driven culture • Align data architecture with IT Service Management (ITSM), Project Portfolio Management (PPM) and Demand Management to ensure consistent processes and unified data services

Job Requirements

  • Minimum of 8 years' experience in establishing and managing data architecture programs in mid-sized to large enterprises
  • Proven success in developing and implementing enterprise data strategies, with measurable improvements in data quality and availability
  • Practical experience implementing data governance frameworks as well as defining roles and operationalizing governance processes
  • Deep technical knowledge of data lake, data warehouse and master data management architectures (e.g., Snowflake, Azure Synapse, Google BigQuery, Kafka, Delta Lake)
  • Expertise in integrating modern data platforms into hybrid cloud environments
  • Experience developing data and metadata standards, naming conventions and data quality rules, and in conceptual, logical and physical data modeling
  • Solid knowledge of TOGAF (ADM phases) and DAMA-DMBOK and their application to data architecture
  • Expertise in regulatory requirements such as GDPR, CCPA and ISO 27001 as they relate to data
  • Experience with data management tools such as Collibra, Alation, Informatica, Talend, dbt, Apache Airflow, Power BI or Tableau
  • Experience designing APIs, event-driven architectures, ETL/ELT pipelines and DataOps practices
  • Ability to support data and BI projects and to perform technical architecture reviews to ensure standards
  • Strong change and stakeholder management skills and experience coaching business and IT teams
  • Ability to analyze data-driven business challenges and develop solution concepts with quantifiable business benefits
  • Very good German and English skills, both written and spoken

Benefits

  • This role can likely be performed fully remotely.

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