Position: Data Architect with Python Experience
Company: DataArt
Category: Lead
Experience required: 3y
English level: intermediate

About the vacancy

The client is UK-based betting and gaming company. The client works with projects ranging from widgets to desktop or mobile casinos and betting sites. The Data Architect Specialist will interact with various stakeholders to understand their requirements and create an evolving solution architecture for the client's cloud-based Enterprise Data Platform. Within the project, the Data Architect Specialist will work on highly reliable systems with low latency, much like transactional systems. The team consist of Developers, QAs, DevOps Engineers, and Architects spread over several office locations.

Responsibilities
- End-to-end design of the data architecture
- End-to-end design of Data Warehouse and Big Data solutions
- Design the data model using Data Vault, Dimensional, and No-SQL techniques
- Data Integration of technologies and techniques like ETL, ELT, real-time data ingestion and API based integration
- Support advanced analytics and AI/Machine Learning capabilities.
- Provide technical and thought leadership, strategic thinking, and architectural direction for data projects.
- Define and communicate commercially aware architecture designs for data solutions by following data design authority governance and standards
- Work closely with the project teams and other stakeholders to ensure the project's requirements are aligned with architectural standards
- Provide governance on data architecture for the business domains under your responsibilities, as well as data standards and target operating models for data activities
- Collaborate with the Data Science & Engineering teams to share best practices for building data pipelines

Must have
- Experience with Relational SQL and NoSQL databases, including document or graph databases
- Experience with Master Data Management tools or frameworks.
- Experience with cloud services like AWS and Azure.
- Experience with object-oriented/object function Scripting languages: Python, Java, Go, C++.
- Experience with big data tools: Spark, Kafka

Would be a plus
- Experience with Snowflake, Redshift, Google Big Query, SQL Server
- Experience with Data Modelling methodologies and techniques (Data Vault and Dimensional)
- Experience with Data Modelling tools and automation frameworks
- Experience with Erwin or Wherescape

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