- Design and develop scalable and efficient data architectures to support data ingestion, transformation, processing, and consumption.
- Define and implement data modeling and schema design best practices for structured and unstructured data.
- Evaluate and select appropriate technologies and tools to optimize data processing and storage.
- Develop strategies and processes for efficient and reliable data ingestion from various sources into the cloud environment.
- Design and implement data transformation pipelines to cleanse, enrich, and aggregate data.
- Ensure data quality and integrity throughout the ingestion and transformation process.
- Architect scalable and highperformance data processing frameworks for big data analytics.
- Collaborate with data scientists and analysts to define data processing requirements and optimize performance.
- Implement distributed computing techniques and frameworks (e.g., Hadoop, Spark) to enable parallel processing of large datasets.
- Establish data governance frameworks and policies to ensure data privacy, security, and compliance.
- Define and enforce data governance standards, data quality processes, and data lifecycle management practices.
- Manage datarelated projects and programs, including resource allocation, timeline management, and stakeholder communication.
- Utilize a wide range of ETL tools, such as Informatica, Hadoop, Cloudera, Apache Ni-Fi for data integration and transformation.
- Leverage Azure data factory and related toolset to orchestrate data pipelines and workflows.
- Stay updated with the latest trends and advancements in cloud data technologies and recommend suitable solutions.
- Bachelor's or master's degree in Computer Science, Information Systems, or a related field.
- Proven experience as a Cloud Data Architect, Data Engineer, or similar role.
- Strong expertise in data architecture, data modeling, and database design principles.
- Handson experience with ETL tools, including Informatica, Hadoop, Cloudera.
- Proficiency in Azure data services, including Azure data factory, Azure Data Lake, Azure SQL Data Warehouse, etc.
- Solid understanding of cloud computing principles and architectures, specifically in the context of data management and analytics.
- Experience with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing technologies.
- Knowledge of data governance frameworks, data quality management, and data lifecycle management practices.
- Excellent program management skills with the ability to manage multiple projects simultaneously.
- Strong analytical and problemsolving abilities.
- Excellent communication and collaboration skills.
- Relevant certifications in cloud computing (e.g., Azure certifications, Informatica certifications).
- Experience with other cloud platforms (e.g., AWS, Google Cloud Platform) and their data services.
- Familiarity with data visualization and reporting tools (e.g., Power BI, Tableau).
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Description
Job Description :
Cloud Data Architect
We are seeking a highly skilled Cloud Data Architect with extensive experience in managing the complete data landscape, including data ingestion, transformation, processing, and consumption.
The ideal candidate will have a strong background in program management and technical governance, along with deep expertise in data architecture.
In addition, the candidate should possess hands-on experience with various ETL tools, particularly Informatica, Hadoop, Cloudera, and the Azure data factory and toolset.
Responsibilities :
Data Architecture :
Data Ingestion and Transformation :
Data Processing and Analysis :
Data Governance and Program Management :
ETL, CLoud data platform toolset :
Requirements :
Preferred Qualifications :
Note :
This is a sample job description and can be modified as per the specific requirements of the organization.
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