Azure Data Architect

3 weeks ago

Pune, India ACZ Global Pvt Ltd Full time

Mandatory Skills : Solution is mandatory

Total Exp : 12 yrs , relevant exp-5years

Shift Timings: 1pm to 10 pm

Mode of work: Hybrid- 3 Days Mandatory

Azure Data Architect

Mandatory Skills - Solution Architecture - Pyspark + Databricks + Adf + Synapse is mandatory

Job Description:

We are seeking a highly skilled and experienced Azure Data Architect to join our team. As an Azure Data Architect, you will play a key role in designing and implementing data solutions on the Microsoft Azure platform. The ideal candidate will have a strong background in data architecture, a deep understanding of Azure data services, and the ability to develop scalable and efficient data solutions that meet business Architecture and Design:

- Lead the design and architecture of data solutions on the Microsoft Azure platform.

- Define and implement data models, data flows, and data storage solutions based on business requirements.

Azure Data Services:

- Expertise in leveraging Azure data services such as Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, and others to build comprehensive data solutions.

- Design and implement data pipelines for data processing and transformation.

Big Data and Analytics:

- Architect and implement solutions for big data processing and analytics using Azure technologies.

- Utilize tools like Azure HDInsight, Apache Spark, and Azure Data Factory for large-scale data processing.

Data Governance and Security:

- Implement data governance practices and ensure compliance with security and privacy requirements.

- Design and implement access controls, encryption, and auditing mechanisms for data protection.

Data Integration and ETL:

- Develop and implement efficient data integration and ETL processes.

- Ensure seamless data flow between on-premises and cloud-based systems.

Performance Optimization:

- Optimize data solutions for performance, scalability, and cost efficiency.

- Conduct performance tuning and implement best practices for data storage and retrieval.

Collaboration and Communication:

- Collaborate with cross-functional teams, business stakeholders, and IT teams to understand data requirements and deliver effective solutions.

- Provide guidance and support to data engineers and Create and maintain comprehensive documentation for data architectures, data models, and data processes.

- Ensure documentation is kept up-to-date with changes in the data environment.

(ref:hirist.tech)

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