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Data Architect(Azure)

2 months ago

Baltimore, United States 4A Consulting, LLC Full time

Azure Data Architect


Min. Experience required- 10 Years


The Hybrid Data Architects/Engineers will provide Data Warehouse Architect/Engineer services to serve as the primary resource(s) responsible for designing and building a data warehouse solution and working with conventional data warehouse technologies to devise plans that support designing data warehouse solutions.


Providing following services:


  • Azure will be used to Provision new data warehouse. Data will be sourced from current SQL Server database and moved to the new data warehouse.
  • Participation in all aspects of Data Warehouse and ETL process design, creation, and specification for components
  • Developing Logical Design for Data Warehouse
  • Developing Physical Design for Data Warehouse
  • Understanding of Star Schema models
  • Outlining the ETL process, setting the borders of data processing.
  • Providing system architecture for each element and the whole data pipeline
  • Assisting in the actual development/implementation of ETL tools. Conducting testing of the tools and data pipelines.



Skill Set , Experience & Capabilities


a. Database and analytical skills.

b. Ability to query source data.

c. Knowledge and experience with ETL tools, Visual Studio, and transmitting and reconstructing Extensible Markup Language (XML) and Structured Query Language (SQL).

d. Knowledge of scripting languages, such as Python, and the ability to automate repetitive tasks in Azure.

• Write optimized SQL queries and manage databases, as Azure data analysts frequently interact with Azure SQL database and other SQL-based services.


Experience with:

1) BI best practices, relational structures, dimensional data modeling, structured query language (SQL) skills, data warehouse and reporting techniques.

2) Dimensional modeling, STAR schema design, Snow fake schema design, slowly changing dimensions, confirmed dimensions.

3) Designing and building BI solutions by monitoring and tuning queries and data loads, addressing user questions concerning data integrity, data mapping, monitoring performance and communicating functional and technical issues.

4) Designing and implementing database models, schemes, and databases to support efficient data storage, retrieval, and analysis.

5) Monitoring and optimizing data systems, data lifecycle, and infrastructure to ensure performance, scalability, and integrity.

6) Designing and implementing ETL procedures for intake of data from multiple source systems; as well as ensure data quality and cleansing is verified.

7) Normalization process

8) Performing the design and extension of data marts, meta data, and data models.

9) Ensuring all data warehouse architecture codes are maintained in a version control system.

10) Advanced experience with technologies such as SQL Server 2016 or above, as well as with Azure data factory, SSIS and stored procedures

11) Advanced experience developing codes, testing for quality assurance, administering RDBMS.

12) High proficiency in dimensional modeling techniques and their applications

13) Azure’s architecture in order to structure optimized data workflows.

(14) The following tools:

i Power BI

ii Tableau

iii Azure Synapse

iv Azure Data Factory

v Azure Blob Storage

vi Azure Databricks

vii Microsoft Fabric

viii One Lake