Data Architect

Job Description

We are looking for a Data Architect to join our Data & AI Solutions organization. In this role, you will take senior technical responsibility for designing and implementing our data platform architecture and implementation, working hands-on to build scalable, resilient solutions while collaborating with global teams and mentoring junior engineers.

What you will do:

• Design and build enterprise-scale data platforms, taking end-to-end ownership of data integration, transformation pipelines and platform components across hybrid and multi-cloud environments.
• Architect and implement highly scalable, resilient and cost-efficient data solutions using modern cloud technologies and tools, with hands-on involvement in platform development.
• Make informed technology decisions by evaluating different architectural approaches and tools against specific business requirements, understanding the broader technology landscape and trade-offs.
• Implement data governance frameworks, standards and policies for data quality, lineage, security and regulatory compliance, aligned with the company’s reference architecture and modern best practice
• Challenge assumptions and poor solutions, bringing critical and systems thinking to identify root causes and focus on solutions that create genuine business value.
• Provide technical guidance and mentorship to other data engineers, fostering strong engineering practices and architectural thinking.
• Collaborate with technical and business stakeholders to translate requirements into scalable platform designs, presenting trade-offs clearly.
• Drive continuous improvement through automation, optimized data delivery and enhanced tooling that increases efficiency and reduces operational overhead.
  

You will bring:

• 5+ years of hands-on experience in data engineering and data platform architecture, with proven experience delivering of enterprise-level data solutions in production environments.
• Deep technical expertise in designing and implementing scalable data platforms, with strong fundamentals in data engineering, data modelling and software architecture.
• Experience with DataOps and DevOps practices, including CI/CD, Infrastructure as Code, policy as code, automated testing and deployment, and environment management
• Strong proficiency with modern data stack technologies ideally including hands-on experience with cloud data platforms such as Azure and Snowflake, and transformation frameworks such as dbt or equivalent tools.
• Extensive experience building data pipelines, data integration solutions and implementing workflow orchestration tools in production environments.
• Practical experience with hybrid and multi-cloud data platforms, including cross-cloud integration, secure connectivity, data replication, disaster recovery, workload placement, and data residency requirements
• Demonstrated ability to think critically and systematically about complex problems -analyzing trade-offs, challenging assumptions and distinguishing real problems from noise.
• Excellent communication skills and fluent English, with proven capability to explain technical concepts clearly and engage stakeholders at all levels.
• Strong analytical mindset with ability to evaluate different technology approaches objectively rather than defaulting to a single stack.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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