Primary Skills
- Fabric Azure Data engineering ADF
Specialization
- Azure Data EngineerIng Basic: Principal Data Architect
Job requirements
- About the Role:
We are seeking an experienced Principal Data Architect with deep expertise in designing and implementing large-scale data platforms on Azure. The ideal candidate will have extensive experience across ADLS ADF Synapse Analytics and Microsoft Fabric and a proven ability to define modern data architecture strategies that enable analytics AI and business transformation.
Key Responsibilities:
- Define and implement end-to-end Azure data architecture leveraging ADLS Gen2 ADF Synapse Databricks and Microsoft Fabric.
- Lead the design and modernization of enterprise data platforms enabling scalable secure and cost-effective data solutions.
- Partner with business and technology stakeholders to translate analytical and reporting needs into technical designs.
- Architect data lakehouse and warehouse solutions aligned with data governance cataloging and lineage frameworks.
- Evaluate and implement data integration transformation and orchestration patterns for high-volume data workloads.
- Drive data platform standardization automation and CI/CD practices across projects.
- Provide technical leadership and mentorship to engineers and data modelers.
- Collaborate with cross-functional teams to ensure data security compliance and performance optimization.
- Stay current on emerging Azure and Microsoft Fabric capabilities to drive innovation and continuous improvement.
Required Skills & Experience:
- 14 years of experience in data engineering architecture or analytics with at least 6 years on Azure data services.
- Strong hands-on expertise with:
- Azure Data Lake Storage (ADLS) Gen2
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Microsoft Fabric (Data Engineering / Data Warehouse / Data Activator)
- Databricks / PySpark / Power BI (preferred)
- Experience designing data lakehouse ELT pipelines and real-time data solutions.
- Proven experience in solution architecture cost optimization and performance tuning.
- Familiarity with data governance security and metadata management frameworks.
- Excellent stakeholder management communication and leadership skills.
- Azure certifications (e.g. Azure Solutions Architect Expert Data Engineer Associate) are a strong plus.
Preferred Qualifications:
- Experience in retail logistics BFSI or manufacturing domains.
- Exposure to data mesh or data fabric concepts and implementations.
- Prior experience in leading large modernization or migration programs.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
Principal Data ArchitectPrimary SkillsFabric Azure Data engineering ADF SpecializationAzure Data EngineerIng Basic: Principal Data Architect Job requirementsAbout the Role:We are seeking an experienced Principal Data Architect with deep expertise in designing and implementing large-scale data platfo...
Primary Skills
- Fabric Azure Data engineering ADF
Specialization
- Azure Data EngineerIng Basic: Principal Data Architect
Job requirements
- About the Role:
We are seeking an experienced Principal Data Architect with deep expertise in designing and implementing large-scale data platforms on Azure. The ideal candidate will have extensive experience across ADLS ADF Synapse Analytics and Microsoft Fabric and a proven ability to define modern data architecture strategies that enable analytics AI and business transformation.
Key Responsibilities:
- Define and implement end-to-end Azure data architecture leveraging ADLS Gen2 ADF Synapse Databricks and Microsoft Fabric.
- Lead the design and modernization of enterprise data platforms enabling scalable secure and cost-effective data solutions.
- Partner with business and technology stakeholders to translate analytical and reporting needs into technical designs.
- Architect data lakehouse and warehouse solutions aligned with data governance cataloging and lineage frameworks.
- Evaluate and implement data integration transformation and orchestration patterns for high-volume data workloads.
- Drive data platform standardization automation and CI/CD practices across projects.
- Provide technical leadership and mentorship to engineers and data modelers.
- Collaborate with cross-functional teams to ensure data security compliance and performance optimization.
- Stay current on emerging Azure and Microsoft Fabric capabilities to drive innovation and continuous improvement.
Required Skills & Experience:
- 14 years of experience in data engineering architecture or analytics with at least 6 years on Azure data services.
- Strong hands-on expertise with:
- Azure Data Lake Storage (ADLS) Gen2
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Microsoft Fabric (Data Engineering / Data Warehouse / Data Activator)
- Databricks / PySpark / Power BI (preferred)
- Experience designing data lakehouse ELT pipelines and real-time data solutions.
- Proven experience in solution architecture cost optimization and performance tuning.
- Familiarity with data governance security and metadata management frameworks.
- Excellent stakeholder management communication and leadership skills.
- Azure certifications (e.g. Azure Solutions Architect Expert Data Engineer Associate) are a strong plus.
Preferred Qualifications:
- Experience in retail logistics BFSI or manufacturing domains.
- Exposure to data mesh or data fabric concepts and implementations.
- Prior experience in leading large modernization or migration programs.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
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