Data Architect

• Mastery over any data type - structured, unstructured, batches, events - orchestrating harmony in the midst of diversity.
• Seamless collaboration across IT, OT, and Engineering Technology (ET), weaving an interconnected tapestry that dissolves data silos.

• Sculpt datasets for dynamic analysis and visionary reporting, transcending traditional data boundaries.
• Embrace contextualization as the catalyst for dynamic links, transforming the data landscape into a living, breathing entity.

• Showcase prowess in the Microsoft BI Stack, emerging as the go-to guru for tools like Power BI.
• Tame T-SQL and SSIS, orchestrating performances that transcend the ordinary and redefine the data symphony.
• Mentor and foster talents within your team, cultivating a culture of perpetual learning and innovation.

• Envision and mold ETL/ELT architectures with the wizardry to handle diverse data forms.
• Weave scalable data pipelines and reporting solutions like digital tapestries.
• Automate the magic of ingesting event-based messages from microservices into our dynamic data wonderland.

• Manage all data through a centralized data catalog, ensuring a harmonious data inventory.
• Provide secure access to relevant stakeholders, balancing accessibility with data security.
• Monitor lineage and changes to data over time, ensuring a transparent and accountable data governance framework.

• Immerse yourself in the realm of knowledge graphs, a key player in designing our information landscape.
• Fine-tune knowledge graph solutions, propelling us to the frontiers of data science with a focus on FAIR principles.
• Harness the power of Azure Event Hubs, Kafka, and Azure Data Factory to craft dynamic, real-time data solutions.

• Dive into Microsoft Fabric and Databricks technologies, eager to unlock their potential.
• Ride the wave of industry trends, infusing our data architecture with the latest innovations.

• Bachelor's or higher degree in Computer Science, Information Technology, or a related field.
• A solid 8+ years in the data architecture scene, with a flair for the Microsoft BI Stack.
• Expertise in T-SQL, SSIS, and SQL server wizardry.
• Mastery in SSAS Tabular Models.
• Experience with Microsoft Power Platform, including Power BI, Power Apps, and Power Automate.
• Proven experience with Agile Methodologies.
• Outstanding analytical and problem-solving skills.
• A familiarity or strong interest in diving into the realms of machine learning and AI.
• Essential knowledge of Kimball Methodologies.

ArcelorMittal