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Data architect

Amadora
Siemens Healthineers
Anunciada dia 6 setembro
Descrição

Data Architect (m/f/d) at Siemens Healthineers

Join our global team as a Data Architect responsible for designing and maintaining data architectures on Azure and AWS, aligning with governance standards and cloud-native services.

Responsibilities

- Design, build, and maintain data architectures on Azure and AWS, using PaaS and cloud-native services aligned with Siemens Healthineers governance standards
- Ensure cloud data platforms comply with organizational governance, security, and compliance frameworks
- Define and enforce data governance, metadata management, and lineage practices across multi-tenant cloud environments
- Collaborate with demand teams, business users, and governance stakeholders to align data quality, integration, and security requirements with enterprise standards
- Propose and implement data platform solutions leveraging native Azure/AWS services, automation, and serverless technologies
- Ensure security, compliance, and data protection requirements (GDPR, HIPAA, ISO, etc.) are integrated into data architectures
- Develop and maintain documentation, blueprints, and governance models for Azure/AWS data systems, ensuring transparency and audit readiness
- Work with platform, security, and governance teams to apply consistent policies, cost transparency, and compliance controls to data workloads
- Advocate data governance best practices, drive adoption across projects, and contribute to the continuous improvement of the Hybrid Cloud Governance framework
- Stay up to date on cloud data governance and architecture trends to propose innovations and efficiencies

Qualifications and experience

- 7+ years of experience in Data Architecture, Data Engineering, or related Cloud Data roles, with at least 5 years in Azure and AWS
- Proven experience designing and implementing enterprise data platforms, data lakes, data warehouses, and real-time pipelines in governed enterprise environments
- Strong knowledge of data security, encryption, access management, compliance frameworks, and regulatory standards
- Hands-on expertise in SQL, NoSQL, big data platforms, data streaming, ETL/ELT frameworks, and APIs
- Proficiency with Azure/AWS data services (e.g., Synapse, Data Factory, Databricks, Cosmos DB, Glue, Redshift, S3, DynamoDB)
- Knowledge of modern data architecture patterns (Data Mesh, Lakehouse, Event-driven, Serverless)
- Familiarity with software development, CI/CD for data products, and infrastructure-as-code (IaC)
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience
- Azure/AWS Data/Analytics or Solution Architect certifications are a plus
- Strong ability to communicate clearly on data risks, governance, and business value to technical and non-technical stakeholders

Competencies and behaviors

- Highly self-motivated, with the ability to identify areas of focus in complex data environments
- Strong communicator able to bridge governance, technical, and business perspectives
- Business acumen to articulate the value of data governance and compliance initiatives
- Ability to work under pressure and deliver compliant, reliable data solutions in fast-paced environments
- Strong documentation skills to describe data flows, architectures, and governance models
- Encourages openness, collaboration, and knowledge sharing across teams
- Takes ownership of end-to-end governance-driven data initiatives with measurable KPIs and milestones
- Ambitious, innovative, and focused on automation, standardization, and simplification of data processes
- Advocates for data ethics, responsible AI, and privacy by design principles

Your attributes and skills

- Leadership in data governance and architecture
- Collaboration & customer orientation with business and IT stakeholders
- Intercultural sensitivity in global, cross-functional projects
- Value orientation with strong data ethics mindset
- Team development and mentoring for data engineering and governance practitioners
- Ability to multi-task, prioritize, and deliver high-quality data solutions
- Excellent communication (written, verbal, and presentation)
- Quick learner, adaptable to new governance models, data technologies, and architectures

As an equal opportunity employer, Siemens Healthineers welcomes applications from individuals with disabilities. We care about data privacy and comply with GDPR and other data protection laws. Do not send CV by email; create a profile in our talent community to upload your CV and receive relevant position alerts.

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