Cloud Data Architect - Azure/Informatica

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 : 1.

Data Architecture : - 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.

2.

Data Ingestion and Transformation : - 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.

3.

Data Processing and Analysis : - Architect scalable and high-performance 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.

4.

Data Governance and Program Management : - 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 data-related projects and programs, including resource allocation, timeline management, and stakeholder communication.

5.

ETL, CLoud data platform toolset : - 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.

Requirements : - 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.

- Hands-on 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 problem-solving abilities.

- Excellent communication and collaboration skills.

Preferred Qualifications : - 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). Note : This is a sample job description and can be modified as per the specific requirements of the organization.

(ref:hirist.tech)