Senior Data Architect

Amaris Consulting | Part of Mantu; España; Remote; EUR 29,000 - 50,000; Full time

Benefits offered by this job

International team

Training programs

Remote work options

Gym access

Lunch vouchers

Spanish classes

Job summary

Amaris Consulting is seeking an experienced Data Architect to design and lead enterprise-wide data architecture initiatives in a fast-growing, international environment. You will mentor engineers, shape data models, ensure governance and security, and collaborate with global teams across Azure, AWS, or GCP.

Fluent English and a strong engineering background are required. Join a multinational team with a strong emphasis on training, ESG commitments, and career development opportunities within

Qualifications

• 7+ years of experience in enterprise data architecture, data modeling, and data integration.
• 5+ years of hands-on experience with modern cloud platforms (Azure, AWS, or GCP).
• Experience with database management systems (SQL and NoSQL).
• Experience with data governance frameworks and data quality management.
• 3+ years of experience with Microsoft Azure and Microsoft Fabric or related Microsoft data solutions, including OneLake, Lakehouses, Warehouses, Data Factory, Power BI, Real-Time Intelligence, and Azure Synapse.
• Experience with generative AI tools.
• Academic background in engineering or computer science.
• Fluent English; additional languages are a plus.

Responsibilities

• Design and implement enterprise-wide data architecture solutions to support business objectives.
• Define and enforce data management standards, policies, and best practices.
• Lead the development and optimization of data models, data flows, and data integration processes.
• Collaborate with cross-functional teams to ensure data quality, consistency, and security.
• Evaluate and select appropriate data technologies and tools for various projects.
• Oversee the migration and transformation of data across platforms and environments.
• Provide technical guidance and mentorship to data engineers and analysts.
• Ensure compliance with data governance and data protection regulations.

Skills

Data architecture

Data modeling

Data integration

Cloud platforms

SQL/NoSQL

Data governance

Azure/Microsoft Fabric

Generative AI tools

Engineering background

Education

Engineering degree

Tools

Azure Synapse

Power BI

Data Factory

OneLake

Job description

Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects since 2007 – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris Consulting: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As every role is different, we adapt the process accordingly, always focusing on the best possible candidate experience. We look forward to meeting you!

Job Description

Join our team and start a new adventure in an international and dynamic environment, where you will be able to fulfil your career expectations in a fast-growing organization.

Being a consultant at Amaris Consulting means positioning yourself as a technical and functional expert in an industrial field, but above all, being an ambassador of our organization to clients, thanks to:

• Your interpersonal skills and ability to listen, in order to build a strong relationship of trust with our clients and fully understand their challenges and issues.
• Your curiosity and eagerness to learn, as we support over 1,000 clients from all sectors worldwide.

Your missions

• Design and implement enterprise-wide data architecture solutions to support business objectives.
• Define and enforce data management standards, policies, and best practices.
• Lead the development and optimization of data models, data flows, and data integration processes.
• Collaborate with cross-functional teams to ensure data quality, consistency, and security.
• Evaluate and select appropriate data technologies and tools for various projects.
• Oversee the migration and transformation of data across platforms and environments.
• Provide technical guidance and mentorship to data engineers and analysts.
• Ensure compliance with data governance and data protection regulations.

Your profile

• 7+ years of experience with enterprise data architecture, data modeling, and data integration.
• 5+ years of hands-on experience with modern cloud platforms (Azure, AWS, or GCP)
• Experience with database management systems (SQL and NoSQL).
• Experience with data governance frameworks and data quality management.
• 3+ years of experience with Microsoft Azure and Microsoft Fabric or related Microsoft data solutions, including OneLake, Lakehouses, Warehouses, Data Factory, Power BI, Real-Time Intelligence, and Azure Synapse.
• Experience with generative AI tools.
• Academic background: engineering school, computer science, or related field.
• Fluent English. Other languages are a plus.
• You demonstrate strong analytical and communication skills.

What we offer

• An international community bringing together 110+ different nationalities
• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
• A robust training system with our internal Academy and 250+ available modules
• A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)
• At Amaris, part of Mantu, sustainability is part of everything we do. You’ll have the opportunity to turn your ideas into action and make a tangible impact. Every day, our teams bring our ESG commitments to life, from reducing our footprint to driving positive change within our communities. Through our WeCare Together program, you’ll be empowered to design and lead projects that create real social or environmental impact, with the company’s full support.
• Gross Annual Salary (GAS): EUR 29,000- EUR 50,000 ; basic salary only, the variable component will be detailed in the offer (Our salary ranges are intentionally wide, because we hire talented minds, not "templates". The same role can attract very different candidates, and we believe in leaving room for that. What lands within the range depends on your specific experience, skills and what you bring to the role).
• Benefits: access to our gym club, lunch vouchers and free Spanish classes
• Remote policy: Possibility to work remotely from Italy, Spain or Portugal.

Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.