Mid Data Architect at Accenture

Role Summary 

• We are seeking an experienced Data Architect to join our team. The ideal candidate will have a strong background in designing, implementing, and maintaining data architecture solutions that support our business goals and ensure data integrity, security, and accessibility 

Key Responsibilities: 

• Design advanced conceptual, logical and physical data organizations, models, repository, dashboards, reports within a complete functional and technical architecture. 
• Develop and implement advanced statistical models and machine learning algorithms to solve business problems. 
• Partner with other architects, infrastructure and software experts to define metadata layers, technical strategy and optimal integration within existing client IT landscape. 
• Translate to technical designers or developers designed solution, review proposed solution and optimize it when required. 
• Design, develop and continuously improve supporting activities (automation of versioning and release management, scheduling, security models, impact assessment of new changes …) 
• Be accountable for the end-to-end solution. 

Project Leadership: 

• Lead data projects from conception to deployment. 
• Coordinate with cross-functional teams, including product, engineering, and business stakeholders, to ensure successful project delivery. 
• Define project scope, goals, and deliverables that support business objectives. 

Mentorship and Collaboration: 

• Mentor and provide guidance to data specialists. 
• Foster a collaborative and innovative team environment. 
• Communicate complex technical concepts and insights to non-technical stakeholders. 

Research and Development: 

• Stay current with the latest advancements in data architecture and the broader data and AI landscape. 
• Experiment with new tools, techniques, and technologies to continuously improve data processes and analytics. 

Deployment and Maintenance: 

• Oversee deployment and monitoring of data solutions in production environments. 
• Ensure that there is continuous improvement for existing data pipelines, data models, reports and infrastructure. 
• Implement best practices for data, model management and version control. 

Qualifications

• Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, or a related field. 

Experience: 

• 5+ years of experience in data architecture, data engineering, or a related field. 
• Proven experience leading data projects and managing teams. 
• Extensive experience with big data platforms (cloud and on-premise), data modeling, data analysis, statistical modeling, and machine learning. 

Technical Skills: 

• Proficiency in programming languages such as Python, R, or Scala. 
• Expertise in data processing frameworks like Apache Spark, Hadoop, or similar. 
• Proficiency with data modeling tools. 
• Strong SQL skills and experience with relational and NoSQL databases. 
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. 
• Advanced knowledge of data visualization tools like Tableau, Power BI, or similar.