Teams at CreateFuture

Lead the technical direction of data engineering across client engagements. Design migration frameworks, streaming architectures, Lakehouse platforms, data integrity systems, and regulatory reporting pipelines. Provide architectural authority, review technical designs, select cloud services, mentor senior engineers, develop reusable delivery patterns, support hiring, and represent the consultancy externally. Shape proposals, scope technical engagements, present to senior stakeholders, and identify opportunities with existing clients.

Lead cloud engineering delivery for client and internal projects, providing technical direction, hands-on infrastructure development, platform engineering, AI enablement, data engineering, security, governance, and FinOps. Build infrastructure as code, CI/CD pipelines, containerized applications, Kubernetes platforms, AI agents, data orchestration systems, observability, and cost controls. Advise clients, contribute to pre-sales, establish engineering standards, mentor cloud engineers, support recruitment, and grow the cloud capability.

Own production data and feature pipelines supporting machine learning systems, including training data preparation, feature engineering, model deployment, versioning, retraining, monitoring, and CI/CD. Build batch and ELT pipelines using Python, PySpark, and cloud data platforms. Troubleshoot live systems, make architecture decisions, partner with clients and data scientists, and mentor engineers while delivering solutions with substantial autonomy.