Data Architect

The opportunity

At TCR, we know that to deliver smarter ground support solutions, we need the right people with the right expertise. That’s why we’re looking for a Data architect who can help us transform data into value. You’ll play a critical role in our ambition to become a truly data-driven organisation.

This is a group-level role based in our headquarters, with hybrid flexibility. We are also open to candidates based in Spain or Malaysia, working in a hybrid or remote setup depending on location.

You’ll work closely with a skilled, motivated team to lead the technical design of data architecture across the company, supporting internal decision-making and customer-facing projects alike.

snapshot of what you will be doing here

• Architectural leadership and oversight

  • Take a leading role in shaping data architecture across programmes, helping teams align on sound design choices and long-term consistency.

  • Establish data architectural principles, guardrails, and governance to ensure consistency across systems and domains.

• Data modelling and design

  • Lead data modelling efforts across operational and analytical domains (OLTP/OLAP), developing conceptual, logical, and physical data models that ensure data integrity and accessibility.

  • Define and enforce data modelling standards that enable seamless integration, analytics, and scalability.
    

• Data Platform and Integration Architecture

  • Design and maintain modern Azure-based data platforms, including Data Lake, Data Factory, and Synapse Analytics.

  • Define and implement data pipelines enabling both stream and batch data processing. Experience with streaming data technologies (Kafka, Flink, etc.) is a strong asset.

  • Collaborate with integration teams to define ingestion, transformation, and consumption patterns.
    

• Data Strategy and Governance

  • Partner with business, IT, and governance teams to develop and evolve the enterprise data strategy.

  • Participate in defining policies and frameworks for master data management, metadata, and data quality.

  • Ensure architecture solutions comply with security, compliance, and GDPR standards.
    

• Collaboration and Stakeholder Engagement

  • Work closely with data engineers, analysts, and business stakeholders to translate business requirements into technical blueprints.

  • Act as a subject matter expert to cross-functional teams on data architecture decisions and trade-offs.

  • Provide strategic input into platform roadmaps and modernization initiatives.
    

• Innovation and Continuous Improvement

  • Evaluate emerging tools and Azure capabilities to drive continuous improvement across data ecosystems.

  • Promote automation, reusability, and efficiency in data ingestion, storage, and analytics.

  • Share best practices in data architecture and mentor team members to build internal capability.

What success looks like

• You’ve established reliable, secure, and scalable data pipelines that are used across departments

• You’ve led architectural decisions that support both current operations and future scalability

• The team trusts your guidance and sees you as a go-to expert for data-related challenges

• You've helped raise the data maturity of the business by embedding governance and driving adoption

• Business users have access to high-quality, well-structured data to make smarter decisions
  

We are looking for someone who

• Holds a degree (or equivalent experience) in IT, Computer Science, Engineering, or a related field

• Has 5years (or more) of experience in data roles such as data modelling, data engineering, analytics engineering, or technical lead roles

• Demonstrates strong hands-on experience in data modelling and data pipeline design

• Has practical experience with Azure data services such as Data Factory, Databricks, Synapse, and related tools

• Understands data governance, security, GDPR, and compliance principles, even if not owning them end to end

• Has experience working on complex data projects within a structured data environment

• Enjoys working across teams and values shared outcomes over individual ownership

• Has strong communication skills in English

• Curious about the big