SGS

Data Architect - Azure

Posted 3 Days Ago

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Hiring Remotely in Madrid, Comunidad de Madrid, ESP

In-Office or Remote

Senior level

Information Technology • Professional Services • Security • Consulting

The Role

Designs and delivers scalable, end-to-end data architectures across global business units. Responsibilities include data modeling, governance, standards, cloud solution design, batch and real-time implementation, stakeholder coordination, partner management, proof-of-concept development, and hands-on delivery using Azure, Snowflake, dbt, Azure Data Factory, and Power BI.

Summary Generated by Built In

Company Description

SGS is the world’s leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of over 100,000 dedicated professionals. With more than 145 years of service excellence, we combine the precision and accuracy that define Swiss companies to help organizations achieve the highest standards of quality, compliance and sustainability.

Our brand promise – “when you need to be sure” – underscores our commitment to trust, integrity and reliability, enabling businesses to thrive with confidence. We proudly deliver our expert services through the SGS name and a portfolio of trusted specialized brands, including Applied Technical Services, Brightsight, Bluesign and Nutrasource.

Job Description

We are looking for a Data Architect to lead the design and delivery of scalable, end‑to‑end data architectures across SGS. You will define data standards, governance, and enterprise models while translating business needs into robust, cloud-based solutions.

As part of the Global Data Team, you will architect and implement data solutions (batch and real-time), collaborate with global stakeholders, and drive the adoption of modern data platforms (Azure, Snowflake, DBT, Power BI). This role combines strategic architecture ownership with hands-on delivery and innovation through PoCs and emerging technologies

Responsibilities

Define and implement data architecture, governance, standards and best practices
Assess and estimate data solutions for business needs
Lead solution design in data projects as Data Architect
Contribute hands-on when required
Ensure alignment with global architecture frameworks across teams
Act as main point of contact for cloud partners and internal stakeholders
Develop PoCs to validate emerging technologies
Stay current with data trends and continuous learning

Qualifications

Degree in Computer Science or equivalent experience
Proven experience delivering solution and reference architectures
Strong track record in end-to-end data solution delivery
User-focused mindset
Ability to travel if needed
Strong communication with senior stakeholders
Fluent in English

REQUIRED SKILLS

6+ years in Azure-based cloud/hybrid data & ML solutions
Strong data modelling expertise (dimensional)
Experience with Snowflake, DBT, ADF, Power BI
Microsoft Fabric is a plus
SQL, Python (C# a plus)
CI/CD with Azure DevOps / GitHub
Proven leadership and team coordination skills
Ability to manage internal/external delivery teams
Strong documentation and communication skills

Additional Information

Why SGS?

Join a globally recognized and stable company, a leader in the Testing, Inspection, and Certification (TIC) industry.
Enjoy a flexible schedule.
Access continuous learning opportunities through SGS University and Campus.
Collaborate in a multinational environment with colleagues from various continents.

Apply Now:
At SGS, we are committed to fostering an open, friendly, and supportive culture that thrives on teamwork. We value diversity and provide endless opportunities to learn, grow your expertise, and fulfill your potential. Apply now to join our motivated and dynamic team!

Skills Required

Degree in Computer Science or equivalent experience
6+ years of experience with Azure-based cloud or hybrid data and machine learning solutions
Experience delivering solution and reference architectures
Strong end-to-end data solution delivery experience
Strong dimensional data modeling expertise
Experience with Snowflake, dbt, Azure Data Factory, and Power BI
SQL and Python experience
CI/CD experience with Azure DevOps or GitHub
Leadership and team coordination skills
Ability to manage internal and external delivery teams
Strong documentation and communication skills
Strong communication with senior stakeholders
Fluent English
Microsoft Fabric experience
C# experience

SGS Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SGS and has not been reviewed or approved by SGS.

Healthcare Strength — Core medical, dental, and vision coverage is part of the U.S. package and is generally viewed as adequate even if not standout. Company information also underscores healthcare coverage as a standard element of the offering.
Retirement Support — A 401(k) is commonly included in the U.S., and group disclosures reference post‑employment benefit plans in select regions. These components provide a baseline of retirement security beyond core pay.
Strong & Reliable Incentives — Annual incentive/bonus structures are part of the compensation mix and cited positively in some regions and roles. Punctual pay is also highlighted as a plus.