What are the responsibilities and job description for the Project Architect L3 position at Capgemini?
Key Responsibilities:
Develop and maintain a comprehensive data architecture that supports the organization's business needs and objectives using AWS Platform
Design and implement data visualization and reporting tools that enable stakeholders to gain insights from data and make informed business decisions using Tableau and PowerBI
Collaborate with business stakeholders to identify analytics requirements, and translate these requirements into technical specifications
Lead the design and implementation of data analytics solutions, including data integration, data modeling, data warehousing, and data visualization using AWS Platform, Tableau, and PowerBI
Provide guidance and technical expertise to data scientists and analysts on data modeling, analytics, and visualization best practices
Continuously evaluate and recommend new technologies and tools that can improve the organization's data and analytics capabilities using AWS Platform, Tableau, and PowerBI
Define and maintain standards for data quality, data governance, and data security using AWS Platform
Work with IT teams to ensure the organization's data infrastructure is scalable, reliable, and secure using AWS Platform
Provide technical leadership and mentorship to junior team members
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field
- 10 years of experience in data analytics, data modeling, and data visualization
- Experience in AWS Platform, including AWS S3, Lake formation, and EMR
- Experience with data integration, data warehousing, and ETL tools
- Proven experience in designing and implementing large-scale data analytics solutions using AWS Platform, Tableau, and PowerBI
- Strong proficiency in SQL and other data query languages
- Experience with data visualization tools such as Tableau, Power BI, or QlikView
- Familiarity with data governance and security best practices
- Excellent communication and collaboration skills
- Strong problem-solving and analytical skills.
- Drive estimation of technical components and tracks team's progress.
- Strong analytical and problem-solving skills.
- Experience with Agile Development methodology.
- Strong communication skills
- Proficiency in English.
Nice to have:
AWS certification (e.g., AWS Solutions Architect Associate or Professional) or other industry certification
Tableau Certification (e.g., Tableau Certified Desktop Specialist or Data Analyst) or other industry certification.
Experience in project and solution estimation and team structure definition
3 Main skills to search for:
Data Visualization: Data & Visual Analytics Lead must have a strong understanding of data visualization techniques and be able to translate complex data into easy-to-understand visualizations. They should be familiar with the principles of data visualization, such as color theory, typography, and layout, to create effective dashboards that convey insights to end-users.
Technical Expertise: Data & Visual Analytics Lead should have strong technical skills and experience working with Tableau software. They must have a deep understanding of Tableau's features and functionality, including data connections, data blending, calculations, and advanced analytics. They should also have a good understanding of databases and data modeling.
Communication: Data & Visual Analytics Lead must have excellent communication skills, both written and verbal, to effectively communicate technical information to non-technical end-users. They must be able to understand end-user needs and translate those needs into dashboards that are clear, concise, and actionable. They should also be able to work collaboratively with other team members, including data analysts and business stakeholders, to ensure the dashboards meet the organization's - Data Architect-Four to Six Years,ETL-One to Three Years,Snowflake-One to Three Years - Delivery Location Type:Client
