Azure Data Architect
Mandatory Skills - Solution Architecture \xe2\x80\x93 Pyspark + Databricks + Adf + Synapse is mandatory
:
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
requirements.
Responsibilities: \xef\x82\xb7
Data Architecture and Design: \xef\x82\xb7
Lead the design and architecture of data solutions on the Microsoft Azure platform. \xef\x82\xb7
Define and implement data models, data flows, and data storage solutions based on business
requirements.
Azure Data Services: \xef\x82\xb7
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. \xef\x82\xb7
Design and implement data pipelines for data processing and transformation.
Big Data and Analytics: \xef\x82\xb7
Architect and implement solutions for big data processing and analytics using Azure
technologies. \xef\x82\xb7
Utilize tools like Azure HDInsight, Apache Spark, and Azure Data Factory for large-scale data
processing.
Data Governance and Security: \xef\x82\xb7
Implement data governance practices and ensure compliance with security and privacy
requirements. \xef\x82\xb7
Design and implement access controls, encryption, and auditing mechanisms for data
protection.
Data Integration and ETL: \xef\x82\xb7
Develop and implement efficient data integration and ETL processes. \xef\x82\xb7
Ensure seamless data flow between on-premises and cloud-based systems.
Performance Optimization: \xef\x82\xb7
Optimize data solutions for performance, scalability, and cost efficiency. \xef\x82\xb7
Conduct performance tuning and implement best practices for data storage and retrieval.
Collaboration and Communication: \xef\x82\xb7 Collaborate with cross-functional teams, business stakeholders, and IT teams to understand
data requirements and deliver effective solutions. \xef\x82\xb7
Provide guidance and support to data engineers and analysts.
Documentation: \xef\x82\xb7
Create and maintain comprehensive documentation for data architectures, data models, and
data processes. \xef\x82\xb7
Ensure documentation is kept up-to-date with changes in the data environment.