Job Title: Senior Power BI Data Architect
Location: Washington DC (4 days/week onsite from Day1 with a transition to 100% onsite expected soon.)
Duration: Long Term
Job details:
We are seeking a highly experienced Senior Power BI Data Architect to design and implement enterprise-scale analytics solutions. The ideal candidate will have hands-on expertise in Azure Databricks Lakehouse architecture Unity Catalog for data governance and building robust high-performing self-service datasets in Power BI. The resource will play a key role in shaping our data strategy ensuring scalable secure and user-friendly reporting capabilities across the organization. The scope of work and activities include the following:
-
Architect and develop scalable data models and datasets for Power BI self-service analytics.
-
Work extensively with Azure Databricks Lakehouse to integrate and prepare large complex datasets.
-
Implement data governance and security controls using Unity Catalog.
-
Collaborate with business stakeholders to understand analytical needs and translate them into effective BI solutions.
-
Ensure high performance of Power BI reports through best practices in data modeling and query optimization.
-
Define standards and guidelines for Power BI development across the organization.
-
Lead efforts in metadata management data lineage tracking and quality assurance.
-
Mentor junior data engineers and BI developers.
SKILLS / EXPERIENCE REQUIRED:
-
Bachelors or Masters degree in Computer Science Information Systems Data Analytics or related field.
-
7 years of experience in BI architecture and data engineering.
-
12 years of overall IT experience
-
Expert-level proficiency in Power BI including DAX Power Query and data modeling.
-
Hands-on experience with Azure Databricks Lakehouse and Unity Catalog.
-
Strong understanding of cloud-based data warehousing ETL/ELT processes and analytics architecture.
-
Proven experience creating and managing large-scale self-service data sets for diverse business users.
-
Experience with CI/CD DataOps practices
Best Regards
Job Title: Senior Power BI Data Architect Location: Washington DC (4 days/week onsite from Day1 with a transition to 100% onsite expected soon.) Duration: Long Term Job details: We are seeking a highly experienced Senior Power BI Data Architect to design and implement enterprise-scale analytic...
Job Title: Senior Power BI Data Architect
Location: Washington DC (4 days/week onsite from Day1 with a transition to 100% onsite expected soon.)
Duration: Long Term
Job details:
We are seeking a highly experienced Senior Power BI Data Architect to design and implement enterprise-scale analytics solutions. The ideal candidate will have hands-on expertise in Azure Databricks Lakehouse architecture Unity Catalog for data governance and building robust high-performing self-service datasets in Power BI. The resource will play a key role in shaping our data strategy ensuring scalable secure and user-friendly reporting capabilities across the organization. The scope of work and activities include the following:
-
Architect and develop scalable data models and datasets for Power BI self-service analytics.
-
Work extensively with Azure Databricks Lakehouse to integrate and prepare large complex datasets.
-
Implement data governance and security controls using Unity Catalog.
-
Collaborate with business stakeholders to understand analytical needs and translate them into effective BI solutions.
-
Ensure high performance of Power BI reports through best practices in data modeling and query optimization.
-
Define standards and guidelines for Power BI development across the organization.
-
Lead efforts in metadata management data lineage tracking and quality assurance.
-
Mentor junior data engineers and BI developers.
SKILLS / EXPERIENCE REQUIRED:
-
Bachelors or Masters degree in Computer Science Information Systems Data Analytics or related field.
-
7 years of experience in BI architecture and data engineering.
-
12 years of overall IT experience
-
Expert-level proficiency in Power BI including DAX Power Query and data modeling.
-
Hands-on experience with Azure Databricks Lakehouse and Unity Catalog.
-
Strong understanding of cloud-based data warehousing ETL/ELT processes and analytics architecture.
-
Proven experience creating and managing large-scale self-service data sets for diverse business users.
-
Experience with CI/CD DataOps practices
Best Regards
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