Data Solution Architect

We are seeking a Data Solution Architect for data-driven projects. Together, we design and drive solutions that generate value from data, using scalable platforms, cutting-edge technologies and machine learning algorithms.

A Data Solution Architect empowers an organization’s digital transformation through enterprise data enablement and democratization.

Responsibilities

• Address organizational business goals and strategy using best practices in data, solution, enterprise and business architectures, as well as software engineering.
• Conduct architectural activities including analysis of business problems and technology landscapes, identification of significant requirements, solution design and creation of corresponding artifacts.
• Perform hands-on software engineering activities: write code and create data models in primary technology stacks; read and understand code and data models for non-primary technology stacks; apply software design patterns and practices.
• Build data management environments (data platforms) where data and AI products can be produced and hosted, on premise and in the cloud. Account for security, compliance and regulatory limitations, including automation and operational components, monitoring, platform orchestration, batch and streaming data ingestion, data access layers, metadata management and semantic layers, self-service and exploratory environments, CI/CD and infrastructure automation, capacity and cost management components, and interfaces for reports on data flow, data quality metrics, operational statuses and catalog operations.
• Guide implementation teams in integrating and harmonizing data from different sources, constructing analytical data products, including real-time streaming analytical data products, and managing the end-to-end data product life cycle with data quality, security and privacy at scale.
• Drive data technology consulting services, help clients shape a solution vision and make decisions under uncertainty.

Requirements

• Experience in requirements engineering, solution architecture, systems development, deployment and maintenance.
• Knowledge of architecture, design patterns and technological landscape in at least 3 technology domains, such as Data Platforms, IoT, ML, Backend or Mobile.
• Profound knowledge of a technology’s internals for at least 1 technology domain.
• Solid understanding of core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security and operations.
• Wide experience in design, implementation, deployment, troubleshooting and re-platforming of distributed systems both on premises and in the cloud.
• Structured and systematic knowledge of the entire architecture design process, including requirements, quality attributes, technology selection, estimation, proposal verification and documentation.
• Experience in all phases of the software development life cycle with different development methodologies and best practices.
• Highly organized and detail-oriented.
• Good communication skills.
• Fluent English.

We offer

Growth opportunities

• Career development programs.
• Thought leadership, mentoring, soft skills and well-being programs.
• Certification in Anthropic, Gemini, GCP, Azure and AWS.
• English classes.

Compensation and benefits

• Stable pay.
• Participation in the Employee Stock Purchase Plan with a 15% discount.
• Benefits package, including health insurance, multisport and shopping vouchers.
• Referral bonuses up to $2,000.
• Offices with entertainment and relaxation zones, table tennis and football, free snacks, coffee and more.
• Corporate, social and well-being events.

Additional information

• Benefits listed above are available to employees only.
• Contractors are welcome; terms of B2B cooperation agreements are agreed individually.
• Only selected candidates will be contacted.