Data Architect
il y a 2 semaines
Job description
Trasys Luxembourg is looking for Data Architect who are ready to engage in long term consultancy projects at European Institutions in Luxembourg.
In this role, you'll be responsible for the architecture of large-scale enterprise grade solutions with an initial focus on go forward Cloud Data Lake platform enabling AI & ML solutions.
You will establish technology standards and roadmaps while still having the opportunity to get into the code via the development of exemplar patterns, data pipelines, and MLOps.
About the role
- Partner with business leadership to identify problems, and opportunities for technology innovation with a focus on data strategy and data cloud.
- Help establish a clear, consistent technology vision through collaboration, influence, and enablement.
- Research, recommend, design, and develop data strategy and cloud architecture.
- Shape enterprise data architecture design patterns, design principles and best practices enhancing business solution delivery.
- Integrate disparate data models across the company into one enterprisewide Cloud Data Platform design
- Consult with various teams to determine and refine AI/ML objectives enabled by MLOps.
- Participate in development of enterprise strategy for AI/ML model development, training, deployment, operations, and compliance.
- Drive culture of standardization in data transformation.
- Interaction with engineering and infrastructure teams to understand data requirements for new solutions
- Lead technology proof of concepts and benchmarks to ensure feasibility of architecture solutions.
- Tailor communication and convey complex ideas in a concise manner to a diverse set of audiences and venues.
- Identify and assess the organizational impact of enterprise architecture, governance, and standards, including change in skills, processes and structures with an emphasis on the data layer.
- Accelerate delivery by forming a network of positive relationships with vendors, and other influencers within the enterprise and beyond.
- Mentor architects, engineers and Inspire and lead senior technical individual contributors.
Requirements:
- Master's degree or PhD in technical field, with a strong orientation in Data;
- 5+ years of architecture experience in data development in public cloud (AWS and/or Azure).
- Display strong thought leadership in pursuit of modern architecture principles and technology modernization.
- Experience in a wide variety of data storage technologies, from RDBMS to NoSQL, Graph and object storage and can explain their varied use cases.
- Experience with ML Tools (Notebooks, etc)
- Experience with enterprise data warehouse technologies.
- Time management and multitasking skills to effectively meet challenging deadlines
- Ability to suggest innovative solutions based on new technologies and latest trends
- Understanding of data security and data access controls and design aspects
- Experience in Agile development methodologies
- Excellent client facing and team player skills.
What is in it for you?
- In order not to be just another outsourcing provider, we guarantee a personal follow up during your employment at the Institutions. Every consultant has a dedicated Trasys career coach to facilitate the communication and career followup.
- To facilitate your way to work, all our consultants have the option to choose a company car with the gas card included.
- To create an occasion for you to meet with other Trasys colleagues and management in a relaxed setting, we regularly organize social events and/or after work drinks.
- Moreover, we can offer a secure employment thanks to our stable contracts with the Institutions since the last 30 years.
- Fun, respectful, and supportive work environment that promotes worklife balance.
- Mobility opportunities to work abroad, in case of interest, as we have various job openings in our Group.
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