Position: Data Architect
Company: Readdle
Experience required: 5y
English level: upper

Role:
- As Data Engineer you will report to the Head of Analytics & Insights and work with VP - Marketing, Marketing Managers, and wider business stakeholders to support our business objectives and growth
- Turning complex data into actionable business decisions in a fast-paced ever-changing environment
- Build and manage ETL jobs from various sources (Appsflyer, Appsconnect, Appfigures, Amplitude) to BigQuery data warehouse
- Designing, implementing, and constantly evolving our Data Architecture
- Produce automated tools and dashboards to facilitate company-wide awareness and understanding of key metrics and results
- Control the quality of the data together with the Engineering team
- Diagnose data quality issues using formal problem-solving techniques and probe underlying issues to generate potential solutions
- Data Architect will map data flows across the organization and design & implement the logical and physical data models needed to establish and maintain data warehouses and /or reporting environments.
- This role will also define and implement a suitable approach to master data management, laying the best practice foundations required to support the information and analytics objectives of the Data Strategy.

Requirements:
- Knowledge of relevant applications, big data solutions, data warehouses, architectural patterns, and tools
- Minimum of 6+ years experience in data/information architecture, management, and/or governance solutions
- Forward-thinking attitude, constantly innovating, and keeping up to date with the latest trends
- Experience building large ETL data pipelines and analytics on top of distributed systems
- Experience building, deploying, and maintaining large-scale machine learning models
- Experience building and optimizing data models and data warehouses
- Demonstrable experience in creating and implementing long-term data strategies for customers, including data remediation, management, and governance policies as well as actionable Business Intelligence
- Experience in industry Data warehousing and reporting systems ideally with - 
 - Knowledge of Cloud Products - Snowflake, Redshift, BigQuery, Synapse
- Strong experience in Data Warehousing and/or Business Intelligence
-  Knowledgeable with ETL technologies such as Talend, Airbyte, and Python
- In-depth understanding of database structure principles
- Strong knowledge of Business Intelligence strategies/design as it relates to - 
- Data Architecture, including analytics and big data solutions
- Knowledge of data mining and segmentation techniques
- Experience with one or more BI tools such as PowerBI, Tableau, and QlikView.