Senior Data Architect

vor 2 Wochen

Emmen, Luzern, Schweiz ALSO Vollzeit

We are seeking a talented Data Engineer with leadership ambitions to join our team and help us modernize and enhance our data environment, making it a reliable source for business decisions.

As a Data Engineer, you will be responsible for integrating our platforms with corporate Business Intelligence. Your role will involve establishing a centralized and robust approach for developing, documenting, and using data and pipelines, as well as monitoring and improving performance, quality, and overall practices.

Key Responsibilities:

  • Become an expert in source data structures, business entities, and corresponding processes.
  • Work with business stakeholders to gather requirements and structure them.
  • Generalize data into the most suitable structure in the DWH for later data distribution within the organization.
  • Introduce and set up DataOps processes and practices, including QA, Monitoring, Optimization, Security, Documentation, Knowledge, and Consistency.
  • Design and implement business processes into functional and efficient pipelines.
  • Transform legacy data pipelines into well-documented and clear DataOps processes and practices.
  • Ensure clear connection with the enterprise PowerBI business analytics platform.
  • Lead and guide data teams and platform developers to harmonize platform data.
  • Support, troubleshoot, debug, and fix existing and legacy data pipelines and procedures until they are transformed.
  • Implement and oversee company data management practices, policies, and regulations.
  • Proactively recommend system improvements and process enhancements.
  • Ensure accurate and timely processing of work.

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 5+ years of experience in the data field.
  • Experience with Azure, SQL (MS SQL) databases, data warehouses, ADF, and PowerBI.
  • Strong understanding of T-SQL query language and SQL execution plans.
  • Experience with data warehouse architecture.
  • Experience with agile development methodologies and working in a team environment.
  • Excellent communication and interpersonal skills, with the ability to work collaboratively with teams across different locations and time zones.
  • Ability to provide guidance and mentorship to development teams.
  • Strong communication and collaboration skills.
  • Knowledge of eCommerce or consumer business is regarded as an asset.

This is a challenging opportunity for a skilled Data Engineer to take on leadership responsibilities and drive the modernization of our data environment.

As a Data Engineer, you will be responsible for integrating our platforms with corporate Business Intelligence and establishing a centralized and robust approach for developing, documenting, and using data and pipelines.

Key Responsibilities:

  • Develop and implement data pipelines and processes to support business intelligence.
  • Collaborate with business stakeholders to gather requirements and structure data.
  • Design and implement data models and architectures to support business needs.
  • Transform legacy data pipelines into well-documented and clear DataOps processes and practices.
  • Ensure clear connection with the enterprise PowerBI business analytics platform.
  • Lead and guide data teams and platform developers to harmonize platform data.
  • Support, troubleshoot, debug, and fix existing and legacy data pipelines and procedures until they are transformed.
  • Implement and oversee company data management practices, policies, and regulations.
  • Proactively recommend system improvements and process enhancements.
  • Ensure accurate and timely processing of work.

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