Azure Data Architect
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Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Data Architect
Location:Miami Florida - 5 days Onsite
Miami FL 5 Days Onsite
Duration:06 months on w2
Experience: 08 to 15 years
Miami FL 5 Days Onsite
Duration:06 months on w2
Experience: 08 to 15 years
Interview Type: Video interviewJob
W2 Role only Not for H1Bs & OPTs
Description:
We are seeking an experienced Data Architect with strong expertise in Microsoft Fabric Azure Data Technologies and modern Data Warehousing/Lakehouse Architecture. The ideal candidate will design scalable cloud-based data solutions and collaborate closely with stakeholders to support enterprise data initiatives.
Primary Skills:
They are looking for a senior-level Microsoft Fabric Architect / Implementation Lead to help drive the design and implementation of an enterprise data platform strategy.
This is not an ETL developer role - the client needs someone with a consultative mindset who can provide architectural vision understand business logic and help structure data environments for future AI and analytics initiatives.
The ideal candidate will have strong experience with Microsoft Fabric Azure data technologies data warehousing/lakehouse architecture and stakeholder-facing communication.
Experience helping organizations modernize and prepare data platforms for AI enablement is highly preferred.
Lead the end-to-end implementation of Microsoft Fabric from initial tenant setup through production rollout and ongoing expansion.
Seven or more years of experience in data platform data engineering or analytics architecture roles with at least three years in a lead or architect capacity.
Deep hands-on experience with the Microsoft data stack including Power BI Azure Data Factory Azure SQL Azure Data Lake Storage and Microsoft Fabric or Azure Synapse Analytics.
Proven experience leading the implementation of an enterprise data platform from the ground up or through a significant expansion.
Design the integration approach between Fabric and source systems including JD Edwards Azure SQL operational systems and third-party data sources.
Required Skills:
We are seeking an experienced Data Architect with strong expertise in Microsoft Fabric Azure Data Technologies and modern Data Warehousing/Lakehouse Architecture. The ideal candidate will design scalable cloud-based data solutions and collaborate closely with stakeholders to support enterprise data initiatives.
Primary Skills:
They are looking for a senior-level Microsoft Fabric Architect / Implementation Lead to help drive the design and implementation of an enterprise data platform strategy.
This is not an ETL developer role - the client needs someone with a consultative mindset who can provide architectural vision understand business logic and help structure data environments for future AI and analytics initiatives.
The ideal candidate will have strong experience with Microsoft Fabric Azure data technologies data warehousing/lakehouse architecture and stakeholder-facing communication.
Experience helping organizations modernize and prepare data platforms for AI enablement is highly preferred.
Lead the end-to-end implementation of Microsoft Fabric from initial tenant setup through production rollout and ongoing expansion.
Seven or more years of experience in data platform data engineering or analytics architecture roles with at least three years in a lead or architect capacity.
Deep hands-on experience with the Microsoft data stack including Power BI Azure Data Factory Azure SQL Azure Data Lake Storage and Microsoft Fabric or Azure Synapse Analytics.
Proven experience leading the implementation of an enterprise data platform from the ground up or through a significant expansion.
Design the integration approach between Fabric and source systems including JD Edwards Azure SQL operational systems and third-party data sources.
Required Skills:
- Hands-on experience with Microsoft Fabric
- Strong expertise in Azure Data Technologies
- Experience designing Data Warehousing and Lakehouse Architecture solutions
- Strong stakeholder-facing communication and collaboration skills
- Experience with cloud data platforms data modeling and ETL/ELT processes
- Ability to architect scalable and high-performance data solutions
- Design and implement enterprise data architecture solutions
- Develop modern data warehouse and lakehouse strategies
- Collaborate with business and technical stakeholders to define requirements
- Lead data integration governance and optimization initiatives
- Support Azure-based cloud data platform implementations
- Ensure scalability performance security and data quality standards are met
