MS Fabric Architect

Akkodis•Cleveland, OH

69d•$45 - $53

About The Position

Akkodis is seeking an MS Fabric Architect for a Contract with a client in Cleveland, OH. Candidates must have deep expertise in data modeling and advanced SQL for building scalable, high-performance architecture. Rate Range: $45/hour to $53/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. MS Fabric Architect job responsibilities include: Design and implement data solutions leveraging the Microsoft Fabric ecosystem, including Data Factory, Synapse Data Engineering, and Power BI. Develop and optimize data models (star schema, data lakehouse, medallion architecture) for scalable analytics. Perform advanced SQL queries and data transformations using Python or Spark to ensure efficient data processing. Integrate and manage Azure Data Services such as ADF, ADLS, Synapse, and Purview for secure and compliant data workflows. Ensure data governance, performance tuning, and cost optimization across all data platforms and solutions. Collaborate with stakeholders to design solutions, provide technical guidance, and maintain documentation for architecture standards. Required Qualifications: Bachelor's degree in computer science, Data Engineering, Information Technology, or a related field. 6-10 years of experience in data architecture and analytics solutions. Strong expertise in Microsoft Fabric ecosystem, including Data Factory, Synapse Data Engineering, and Power BI. Deep understanding of data modeling (star schema, data lakehouse, medallion) and advanced SQL with Python or Spark for data transformation. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at Gopal.Gupta@akkodisgroup.com. Pay Details: $45.00 to $53.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www-uat.modis.com/en-us/candidate-privacy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Requirements

Bachelor's degree in computer science, Data Engineering, Information Technology, or a related field.
6-10 years of experience in data architecture and analytics solutions.
Strong expertise in Microsoft Fabric ecosystem, including Data Factory, Synapse Data Engineering, and Power BI.
Deep understanding of data modeling (star schema, data lakehouse, medallion) and advanced SQL with Python or Spark for data transformation.

Responsibilities

Design and implement data solutions leveraging the Microsoft Fabric ecosystem, including Data Factory, Synapse Data Engineering, and Power BI.
Develop and optimize data models (star schema, data lakehouse, medallion architecture) for scalable analytics.
Perform advanced SQL queries and data transformations using Python or Spark to ensure efficient data processing.
Integrate and manage Azure Data Services such as ADF, ADLS, Synapse, and Purview for secure and compliant data workflows.
Ensure data governance, performance tuning, and cost optimization across all data platforms and solutions.
Collaborate with stakeholders to design solutions, provide technical guidance, and maintain documentation for architecture standards.