Senior Data Architect designing and implementing data architectures at Join. Collaborating in agile squads focusing on quality and innovative processes.
Responsibilities
Design reference data architectures for data ingestion, storage, processing, preservation, and provisioning.
Define architectural standards for data lakes, data warehouses, data spaces, data cubes, and knowledge graphs.
Design cloud service architectures that enable diverse processing pipelines, data interoperability, and AI model training.
Ensure compliance with security, data sovereignty, scalability, performance, and governance requirements.
Integrate data governance requirements into architectural decisions.
Define standards for MLOps and DevSecOps in collaboration with data and AI teams.
Work collaboratively with governance, data engineering, infrastructure, and AI teams.
Document architectures, technical decisions, and adopted standards.
Requirements
Bachelor's degree in Computer Engineering, Computer Science, IT Management, Information Systems, or a related field.
Minimum of 5 to 7 years of experience in data architecture or equivalent roles.
Experience with mission-critical, distributed environments and large-scale data volumes.
Knowledge of data architectures (Lakehouse, Lambda, Kappa) and public, private, and hybrid cloud environments.
Containers and orchestration (Docker, Kubernetes).
Infrastructure as Code (Terraform or similar).
Interoperability standards and APIs.
Best practices and tools for MLOps and DevSecOps.
Experience with relational, columnar, document, and graph databases.
Strong ability to make well-founded technical decisions.
Strategic vision combined with deep technical expertise.
Structured communication skills, autonomy, and a collaborative mindset.
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