Data Architect – Data Governance

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Smarthis

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

Artificial Intelligence • Automation • Data Analytics

Smarthis is a company that specializes in providing customized solutions for businesses seeking automation and problem-solving through data analytics. With a presence in over 25 countries and more than 2000 projects completed, Smarthis helps organizations achieve operational efficiency by simplifying tasks through robotic process automation (RPA), transforming raw data into strategic insights, and implementing artificial intelligence processes that continuously learn and improve. Their commitment to customer support ensures monitoring and maintenance of automation cycles, making them a reliable partner for digital transformation.

📋 Description

• Define and evolve data architectures, ensuring scalability, governance and efficiency of solutions; • Establish standards, best practices and technical guidelines for the data ecosystem; • Provide technical support to engineering teams during implementation of proposed solutions; • Translate business needs into structured, sustainable data solutions; • Participate in technical discussions with clients and stakeholders with clarity and depth; • Evaluate and propose solutions in cloud environments, considering performance, cost and security; • Work on integrating data from different systems, including SAP and operational systems.

🎯 Requirements

• Proven experience in data architecture, with involvement in solution design (not only implementation); • Experience with cloud environments (AWS, Azure or GCP), including architecture design; • Knowledge of data modeling and definition of integration standards; • Experience with modern data ecosystems (data lakes, data warehouses, pipelines, etc.); • Clear and structured communication skills, with a focus on explaining technical decisions; • Consultative profile, with autonomy and a critical view of solutions. • Nice to have: • Experience with SAP MDG (Master Data Governance) or master data management; • Knowledge of operational/industrial data and systems (OT); • Experience with SAP environments and integration with data platforms; • Prior experience in digital transformation or architecture modernization projects; • Familiarity with tools such as Databricks (when considered in an architectural context); • Experience with data governance and data quality.

🏖️ Benefits

• Profit-sharing • Health and dental insurance • Flexible benefits card • TotalPass • Access to Zenklub • Language program • Partnership with FIAP • Hybrid work • Internal training and structured career plan • Flexible working hours • Mentoring program • Extended parental leave • Childcare allowance