Data & AI Architect

SabancıDx: the Future is Today! 🚀

Discover SabancıDx!

As SabancıDx, Turkey's leading technology company, we provide our clients with innovative solutions they need in a competitive environment. We address all their cloud technology needs holistically and prepare them for future technological demands with our managed technology services and products developed for digital transformation.

Offering a single point of service for cloud solutions and managed services, we empower businesses with innovative technology solutions that enhance productivity and success. Through our AI-Powered Hybrid Cloud Solution Center, we combine global capabilities with local needs to deliver flexible and reliable solutions for our clients in Turkey and around the world.

Because the Future Is Today! 🌍 Learn more about Our’s strong solutions that shape tomorrow. 👉🏻 https://www.sabancidx.com/en/about-us

Role Overview

We’re hiring a Data & AI Architect to join our Cloud Solutions team. You’ll work directly with customer stakeholders, Microsoft teams and our internal delivery squads to design, propose, and implement modern data & AI platforms. This is a mid-level position ideal for someone who has moved past junior tasks and is ready to own architectural decisions, but still values mentorship and continuous learning within a growing team.

Responsibilities

• Design and build end-to-end data platform architectures on Microsoft Azure (covering ingestion, storage, transformation, serving, and consumption layers) and optimize lakehouses/warehouses using Azure Synapse Analytics, Microsoft Fabric, and Azure Databricks.
• Architect multi-cloud relational database solutions across Azure (Azure SQL, Managed Instance, PostgreSQL) and AWS (RDS PostgreSQL, MySQL, SQL Server) for multi-cloud customers.
• Design and manage optimized ETL/ELT pipelines using Azure Data Factory, Fabric Data Pipelines, Databricks workflows, and AWS Glue.
• Define precise data modeling strategies (dimensional, Data Vault 2.0, wide-table) based on customer use cases and query patterns.
• Design enterprise AI/ML architectures and Retrieval-Augmented Generation (RAG) solutions leveraging Azure OpenAI, Azure AI Search, Azure Machine Learning, Cognitive Services, Amazon SageMaker, and Amazon Bedrock.
• Enable and drive Microsoft Copilot adoption (including M365 Copilot, Copilot Studio, Copilot for Security, and GitHub Copilot) across customer organizations.
• Assess hybrid/multi-cloud data workloads, compare Azure-native vs. AWS-native services (e.g., Fabric vs. Redshift, Azure SQL vs. Amazon RDS, Azure AI vs. SageMaker), and advise on complex database migration strategies from on-premise to cloud.
• Lead technical discovery workshops with customer IT and business teams to identify data & AI opportunities, creating technical proposals, reference architectures, and solution documents.
• Deliver hands-on Proof of Concept (PoC) and Proof of Value (PoV) engagements to validate proposed solutions for customers.
• Present solutions at customer steering committees, Microsoft co-sell meetings, and industry events, collaborating with Sales, Delivery, and Customer Success teams throughout the project lifecycle.

Preferred Skills and Experience

• 3–6 years of hands-on experience in data engineering, data architecture, or cloud solutions
• Strong expertise in Microsoft Azure data stack: Synapse Analytics, Data Factory, Azure Databricks, Azure SQL, Azure Data Lake Storage
• Working knowledge of Microsoft Fabric and its workloads (Data Engineering, Data Warehouse, Lakehouse, Real-Time Analytics)
• Proficiency in Microsoft SQL Server and PostgreSQL — performance tuning, query optimization, schema design
• Familiarity with AWS data services: Amazon RDS, Redshift, Glue, S3, SageMaker
• Strong understanding of Microsoft Copilot products or demonstrable interest in the Copilot ecosystem
• Experience with data modeling methodologies and modern data platform patterns (lakehouse, data mesh, medallion architecture)
• Proficiency in SQL and at least one of: Python, Scala, or PySpark
• Experience with CI/CD for data pipelines and infrastructure as code (Terraform, Bicep, ARM templates)
• Excellent communication skills with the ability to present complex technical solutions to both technical and non-technical audiences
• Advanced English proficiency (written and spoken)
• Microsoft certifications (preferred): DP-203 (Data Engineer), AI-102 (AI Engineer), DP-600 (Fabric Analytics Engineer), AZ-305 (Solutions Architect)
• AWS certifications (preferred): Solutions Architect Associate (SAA), Data Engineer Associate (DEA)
• Experience with real-time streaming architectures (Event Hubs, Kafka, Spark Structured Streaming)
• Hands-on experience with Power BI, including semantic models, DAX, and enterprise-scale deployments
• Knowledge of data governance and cataloging tools (Microsoft Purview, AWS Glue Data Catalog)
• Prior consulting or professional services experience in a customer-facing role
• Industry exposure in retail, financial services, manufacturing, or energy

Here in SabancıDx, our journey is to find the best version of ourselves and to create the best future together. 🌱

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