Senior Data Architect

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Proven experience as a Data Architect with knowledge of modern data platforms like Snowflake and Azure Data Factory., Solid understanding of data modeling techniques and metadata management., Experience with large-scale data integration and reporting solutions., Excellent stakeholder engagement skills..

Key responsibilities:

  • Define and oversee data architecture for scalability, reliability, and security.
  • Collaborate with stakeholders to gather requirements and create data design specifications.
  • Support data integration between multiple systems including POS and Data Hub.
  • Ensure adherence to data governance and best practices.

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Billigence

Job description

About Billigence:

Billigence is a boutique data consultancy with a global reach and diverse clientele, transforming how organizations leverage data. We utilize cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications—from process digitization to Cloud Data Warehousing, Visualization, Data Science, Engineering, and Data Governance.

About the Role:

We are seeking an experienced Senior Data Architect to support our client’s critical data programs. You will be responsible for providing architectural leadership to design robust data models and pipelines, ensuring alignment with business and technical requirements.

What You’ll Do:

  • Define and oversee data architecture, ensuring scalability, reliability, and security.
  • Collaborate with stakeholders to gather requirements and translate them into data design specifications.
  • Support data integration between multiple systems including POS, CRA, Data Factory, and Data Hub.
  • Ensure adherence to data governance and best practices.
  • Provide expert guidance on technology choices related to data architecture.

What You’ll Need:

  • Proven experience as a Data Architect with strong knowledge of modern data platforms like Snowflake, Azure Data Factory, and Power BI.
  • Solid understanding of data modeling techniques and metadata management.
  • Experience working with large-scale data integration and reporting solutions.
  • Excellent stakeholder engagement skills.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

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