Cloud Data Architect

• Big Data, Python, BI
• WO denkniveau
• Senior werkniveau
• 2-5, 5-10 jaar werkervaring
• Nederlands, Engels, Frans sprekend

• Vast
bruto per maand
• Maaltijdcheques
• Lease auto
• Tankkaart
• Mobiel
• Laptop
• 13e maand
• Pensioen
• Netto onkostenvergoeding

• Minimaal een 40-urige werkweek
• Samenwerken met 20-50 collega's
• Je werkt samen met Management, IT
• Focus op B2B
• Je werkt voornamelijk met

We are currently looking for a cloud data architect, who will join us in order to deliver high quality, end-to-end cloud data solutions.

Implement and oversee the Data Warehousing (possibly Snowflake or BigQuery) and ETL infrastructure
Define and establish processes to maintain the integrity of data within our data pipeline and warehouse
Ensure quality of data and completeness of event logging across enterprise codebase
Integrate data from 3rd party services.
Develop ETL jobs and tests to process, validate, transport, collate, aggregate, and distribute data
Transform raw event logs into higher-order tables to make existing analysis easier and new analysis possible
Be part of a new team championing a data-informed culture
Build workflows that empower analysts and scientists to efficiently use data in Looker, MicroStrategy or other data visualization tools
Other duties and tasks as assigned

Following the Agiliz vision and methodology, you will be leading the clients on different cloud & BI aspects. As a Key Advisor, you will be the point of contact from problem definition to solution design and implementation. You will be leading your domain and your team in order to provide an innovative BI implementation.

• You hold at least a Bachelor Diploma or similar through experience.
• Proven experience working with the Google Cloud Platform (Preferable). Wider knowledge of AWS/Azure is desirable, but GCP is the main focus.
• Understanding of Agile (Scrum) methodologies
• Experience with network design patterns
• Experience with NoSQL data sources
• Preferable knowledge of Snowflake and BigQuery, but not a must
• Strong SQL writing skills
• Expertise building data pipelines with streaming and batch ETL patterns on complex datasets using Python/Docker/SQL
• Ability to architect the entire data ecosystem with flows and dependencies across numerous internal systems and new cloud applications
• Automation experience with builds, deployments, testing, and configuration
• Software Engineering experience with expertise in at least one high-level programming language (preferably Python)
• Excellent End-User/Business Interaction and Presentation Skills
• Strong stakeholder management skills and ability to negotiate and influence executive level for decision making with clarity, patience, and empathy
• Familiarity with Data Visualization tools
• Good language skills: English, Dutch/French