Position: Senior Cloud Architect
Company: Sciforce
Category: Lead
Experience required: 5y
English level: upper
Published: 2021-12-01T00:00:00+02:00

**Responsibilities:**
- Convert complex business requirements into scalable, functional architectures engaging the best Open Source / Cloud services.
- Provide, carry out and maintain Enterprise Data Strategy (Data Acquisition, Data Integration, Data Architecture, Master Data Management, Data Security/Privacy)
- In charge of the Client’s End-to-end Data Integration and Advanced Analytics resolve.
- Define the current Solution architecture concept and its transfer to functional deployable solutions.
- Mentor, lead and ensure technical vision to the team members
- Obtain excellent implementation of the architecture and evolve highly efficient, customer-focused set-up delivering on aggressive business requirements/timelines.
- Implement Agile processes and SDLC best practices, especially in CI/CD, technical design reviews, code reviews and documentation

**Requirements:**
- 3+ years in delivering enterprise solution architectures for secure, high throughput integration platforms, & interoperable distributed software systems
- Overall 8+ years of software design, development and delivery experience involving the best data integration and OLTP/OLAP technologies
- Development experience in Python, PHP, Node JS, React and Angular JS
- Solid expertise in refining technologies like Microservices, Containers (Docker/Kubernetes), Cloud Native Services, message streaming, Big Data
- Architect within LAMP, OO Design principles and design patterns, Web Services, and RESTful interfaces
- Expert understanding of Data Modeling and Data Mining techniques, Big Data Technologies, hands-on experience using MySQL/No SQL
- Efficient with real-time streaming (Kafka/Kinesis) & Inline Analytical tools like Flink, Storm, etc.
- Experience with SaaS product deployments in AWS/Azure, cloud infrastructure management (Terraform, CloudFormation), Container technologies, and Security best practices
- Proficiency in building high-load, scalable and secure analytic solutions using Spark, Elastic Search, Kibana, Druid, Superset, Caching technologies, Message Brokers (like ActiveMQ)
- Running architectural and SDLC process changes skills
- Deep understanding of Agile development methodologies like SCRUM, Kanban
- B.S. in Computer Science or Equivalent

Would be a Plus:
- Exposure to data science fundamentals, AI/ML models & algorithms, and their production deployments in the areas of deep learning and process mining is desirable, but not a must.
- Exposure to Enterprise integrations with SAP, Salesforce and related Technologies like Talend, Singer, MuleSoft, BizTalk, Mirth is a huge plus