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• No of position :- ( 1 )

• Post :- 3rd Nov 2023

Data Architect
Position Overview:
We are seeking a highly skilled and motivated Data Architect to join our Global Data Architecture team. As a Data Architect, you will play a crucial role in designing, implementing, and maintaining the data infrastructure necessary to support our dataware housing and modernization initiatives. Your expertise in data modeling and Extract, Transform, Load (ETL) processes will be instrumental in transforming raw data into valuable insights, empowering our organization to make informed, data-driven decisions. This is an exciting opportunity to work with cutting-edge technologies and collaborate with a dynamic team to drive the growth and success of our company.

Responsibilities:

1. Data Modeling: Design, develop, and maintain robust and scalable data models that support the organization's analytical requirements. This includes conceptual, logical, and physical data modeling to ensure data consistency, accuracy, and efficiency.

2. Data Mapping and Documentation: Document data architecture, data flows, and ETL processes for reference and future enhancements. Research and consolidate data sources and detailed logic in order to build harmonized data models.
3. ETL Development: Build and optimize ETL processes to efficiently extract data from various sources, transform it into a usable format, and load it into the data warehouse or other platform. Implement data integration and cleansing strategies to ensure data quality.

4. Data Warehouse Design: Collaborate with the product teams and technical consumers to design and implement data warehousing solutions that facilitate easy access to data for reporting and analysis purposes. Ensure the data architecture aligns with business needs and objectives.

5. Performance Optimization: Continuously evaluate and improve the performance of data models and ETL processes to enhance data processing speed and query efficiency. Identify and resolve bottlenecks or performance issues.

6. Data Governance and Security: Establish and enforce data governance practices to maintain data integrity, security, and compliance with industry standards and regulations. Implement data access controls and encryption techniques to safeguard sensitive information.

7. Collaboration: Work closely with cross-functional teams, including data analysts, data engineers, and product owners to understand data requirements and provide technical solutions.

8. Data Quality Assurance: Develop and execute data validation procedures to ensure the accuracy and reliability of data stored in the data warehouse. Implement data profiling and monitoring mechanisms to proactively detect anomalies.

9. Stay Current with Technology Trends: Keep abreast of the latest developments in data architecture, data modeling, and ETL tools. Propose and implement innovative solutions to enhance the business stakeholders’ capabilities.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- Proven experience as a Data Architect, Data Modeler, or similar role.
- In-depth knowledge of data modeling techniques, such as entity-relationship diagrams, dimensional modeling, and data normalization.
- Proficiency in designing and implementing ETL processes using tools like Informatica, Talend, or similar.
- Strong understanding of data warehousing concepts and best practices.
- Familiarity with modeling tools such as Power Designer, CA Erwin, and Microsoft Visio.
- Solid understanding of database technologies (e.g., SQL, NoSQL), data integration techniques, and data governance principles.
- Excellent analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Detail-oriented with a passion for data quality and accuracy.
- Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) is a plus.