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Data architect

Weybridge
Michael Page Sales
Data architect
Posted: 21 September
Offer description

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Our client is an international professional services brand of firms, operating as partnerships under the brand. It is the second-largest professional services network in the world.


Job Description

Qualifications & Required Skills:

* Full-Time
* Bachelor's or master's degree in engineering/technology, computer science, information technology, or related fields.
* 10+ years of experience in data modeling and database design; experience in Retail domain is a plus.
* 8+ years of experience in data engineering development and support.
* 3+ years of experience leading technical teams of data engineers and BI engineers.
* Proficiency in data modeling tools such as Erwin, ER/Studio, or similar.
* Strong knowledge of Azure cloud infrastructure and development using SQL, Python, PySpark with ADF, Synapse, and Databricks.
* Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions.
* Strong communication, interpersonal, collaboration skills, and leadership capabilities.
* Ability to work effectively in a fast-paced, dynamic environment as a cloud SME.
* Design and manage centralized, end-to-end data architecture solutions, including data model designs, database standards, data warehouses, and analytics systems.
* Conduct continuous audits of data management systems and optimize performance.
* Identify bottlenecks, optimize queries, and implement caching to improve data processing speed.
* Integrate internal and external data sources, including APIs, for comprehensive data insights.
* Ensure data privacy and compliance with standards.

Preferred Qualifications

* Azure Data Factory (ADF), Databricks certifications are a plus.
* Data Architect or Azure cloud Solution Architect certifications are a plus.

Technologies Used: Azure Data Factory, Databricks, Azure Synapse, Azure Tabular, Azure Functions, Logic Apps, Key Vault, DevOps, Python, PySpark, Scripting (PowerShell, Bash), Git, Terraform, Power BI, Snowflake.


The Successful Applicant

Qualifications & Required Skills: Full-Time

[Repeat of qualifications from above]

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