Description
The first thing you need to know is that here you will not fall into routine. Radix develops solutions for companies in different sectors and industries. Each project has its technologies, solutions and deadlines and you will have the opportunity to act and experience different challenges. In addition to our operations in Brazil, with offices in Rio de Janeiro, São Paulo and Belo Horizonte, we also have branches in the United States, making Radix increasingly consolidate itself as a **global** company.
Do you want to be part of this story and turn ideas and dreams into reality?
**Responsibilities and Duties**
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* Technically lead multidisciplinary squads, ensuring the quality, scalability and architectural alignment of the delivered solutions.
* Define, evolve and govern modern data architectures (batch, streaming and near real\-time), promoting best practices in engineering, security and governance.
* Act as a technical reference for data engineers, supporting architectural decisions, code reviews and professional development of the team.
* Design and implement corporate data platforms using Microsoft Fabric, Lakehouse, Data Warehouse, OneLake and integrated analytics services.
* Define strategies for data ingestion, transformation and availability using Microsoft Fabric Data Factory, Spark Notebooks, Event Streams and Real\-Time Analytics.
* Lead integration initiatives between corporate systems and analytics platforms, with a focus on SAP ECC, SAP S/4HANA, SAP BW and SAP Datasphere environments.
* Define integration architectures using APIs, OData Services, CDS Views, native SAP connectors and other corporate extraction mechanisms.
* Conduct technical reviews of pipelines, data models and platform components, justifying architectural trade\-offs for local and global stakeholders.
* Integrate solutions in hybrid and multi\-cloud environments (Azure and/or AWS), ensuring interoperability, resilience and governance.
* Evaluate and apply Artificial Intelligence and GenAI solutions in corporate scenarios in a structured manner aligned with business needs.
* Map industrial (OT) and corporate (IT) data sources, assessing operational criticality, latency requirements and business impacts.
* Promote architecture standards, observability, DataOps, data quality and governance across the entire data chain.
* Work with business and technology stakeholders in defining roadmaps, technical prioritization and evolution of the data platform.
**Requirements and Qualifications**
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* Complete higher education in Computer Science, Engineering, Information Systems or related fields.
* Solid experience (5\+ years) in Data Engineering and Architecture, with proven track record in technical leadership of teams and projects.
* Strong mastery of Python, SQL, Spark and distributed processing architectures.
* Practical experience with Microsoft Fabric, including Lakehouse, Data Warehouse, OneLake, Data Factory, Notebooks and analytics workloads.
* Experience in building scalable data pipelines and corporate analytics solutions in cloud environments.
* Solid knowledge in conceptual, logical and physical data modeling.
* Experience with data integration in SAP ECC, SAP S/4HANA, SAP BW and/or SAP Datasphere environments.
* Knowledge of SAP integration mechanisms, including APIs, OData, CDS Views, corporate connectors and data replication strategies.
* Experience in Azure and/or AWS environments.
* Experience with event-driven architectures, data streaming and real-time processing.
* Knowledge of governance, observability, data quality and information security practices.
* Real experience with international clients and high-complexity projects.
* Ability to influence technical decisions and lead architectural discussions with executive and technical stakeholders.
* Fluent English (mandatory).
**Differentiators**
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* Microsoft Fabric certifications, Azure Data Engineer Associate (DP\-203\), Azure Solutions Architect or equivalents.
* Experience with SAP Datasphere, SAP BTP and modern SAP data architectures.
* Experience with Databricks, Delta Lake and corporate Lakehouse architectures.
* Knowledge of Data Mesh, Data Products and domain-oriented architectures.
* Experience with industrial data, Asset Management, PI System, SCADA, Historians or MES.
* Experience in applying Generative AI, LLMs and corporate AI platforms.
* Certifications in Data Architecture, Cloud or Data Engineering.
* Experience with data catalog tools, metadata management and data lineage.
* Knowledge and experience in Cognite Data Fusion.
**Benefits:**
* National Medical Assistance (for the holder and dependents, with private room)
* National dental assistance (for the holder and dependents)
* Flexible meal / food voucher
* Home office allowance
* Day off (in the month of the birthday)
* Wellhub (formerly Gympass)
* Extended Maternity Leave (6 months) and Paternity Leave (20 days)
* Daycare allowance for children up to 3 years old (per child)
* Mental health support with Wellz
* Benefits Club with discounts from various partners
* Agreement with educational institutions and language courses
* Professional Development (Corporate University)
* Partnership with a coworking company in Brazil
* Quality of Life and Well\-Being Program
* Consultant doctor for monitoring radixers
* Incentive plans
**Radix is always at the top of the Best Companies to Work For because:**
* We have committed, dedicated, curious and innovative professionals.
* Team spirit is our greatest strength. We work cooperatively and know that we are together, rowing in the same direction.
* We have a diverse environment that values equity and inclusion.
* Our working hours are flexible and in almost all projects it is possible to work from anywhere in Brazil.
* We value well\-being and care for our people, with programs supporting mental health, psychiatrist and consultant doctor available.
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**\#VemPraRadix**
**Job Code: 203a**