Position: Data Architect
Company: Simplify
Category: Data Science
Experience required: 5y
English level: fluent

Responsibilities
- Be able to analyse data sources and identify a path to data science integration based on use cases.
- Determine the scope and type of data for Customer Data Platform and Marketing Automation Platform.
- Take responsibility for analysing and optimising the performance of ETL processes
- Define merging and data policies based on business requirements
- Select required data models for ML-based use cases

Requirements
- You have in-depth knowledge of both relational and non-relational database management systems and cloud-based data storage solutions (e.g. Amazon S3, Google Cloud Storage, Redshift, DynamoDB, Snowflake, Databricks etc.)
- You are familiar with designing and creating data models in relational and non-relational environments based on business requirements.
- You are proficient with event streaming technologies (e.g. Kafka, Solace) and ETL tools (e.g. Informatica, Pentaho, etc.).
- You understand the business value of using machine learning in the context of customer data and marketing use cases
- Practical experience in Python development (or a similar programming language - e.g. Java) and knowledge of versioning control systems is an advantage
- You have good presentation and communication skills in English (at least C1)