Electric Mind

Data Engineer

• Contribute and validate the data and analytics architecture
• Establish engineering standards and best practices
• Design and build scalable data platforms and solutions using cloud-native services and cloud data platforms
• Expertise in implementing Data Products
• Implement ingestion, transformation, and orchestration pipelines
• Optimize performance and cost
• Implement and Integrated to CI/CD pipelines
• Observability and reliability best practices and enablement
• Enable ML pipelines and understanding of model deployment and monitoring
• Collaborate with data scientists and architects

Data Engineering Lead – Data, Cloud and AI

Architect

• Assess and Define enterprise data strategies and roadmaps
• Conduct executive workshops and stakeholder alignment
• Design AI-ready data operating models
• Understand, Align and Translate business objectives into data capabilities
• Conduct data governance maturity assessments
• Design governance frameworks
• Data ownership and stewardship models
• Data quality management
• Metadata and lineage strategies
• Policy-as-code approaches
• Develop enterprise cloud data architectures
• Lakehouse architectures
• Data Mesh / Data Products
• Event-driven architectures
• Align architecture with strategy, governance and security models
• Lead enterprise transformation programs
• Guide technical teams
• Define reusable methodologies and accelerators

Data Engineering Lead – Data, Cloud and AI

Associate Director, Data Strategy, Advisory & Architecture