Cloud Data Platform Architect - Azure & Databricks

At DIGITALL we don't just deliver technology, we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries. We are looking for an experienced Cloud Data Platform Architect to design and deliver enterprise-scale data platforms based on Microsoft Azure and Databricks . The role combines cloud and data architecture, data engineering, governance, security, and technical leadership. This is your job: Design scalable data lake, data warehouse, and lakehouse architectures on Azure and Databricks. Define Databricks architecture covering Unity Catalog, Delta Lake, Workflows, SQL Warehouses, Lakeflow, notebooks, AI/ML and model serving . Design networking, identity and access management, security, governance, monitoring, and environment strategies. Define data integration patterns for batch, streaming, APIs, messaging, and data virtualization . Establish infrastructure automation, deployment standards, performance optimization, and cost management. Provide technical leadership, architecture guidance, and design reviews. Translate business requirements into scalable technical solutions and communicate them effectively to stakeholders. Your qualifications: Strong experience with Microsoft Azure and Databricks in enterprise environments. Strong understanding of data lakes, data warehouses, lakehouse architecture, and open data formats . Experience with technologies such as Spark, Kafka, Hadoop, Flink, and Hive . Strong skills in Python and SQL ; Scala or Java is an advantage. Experience with Unity Catalog, Delta Lake, data governance, security, and platform operations . Understanding of BI, analytics, machine learning, and AI concepts. Experience with Infrastructure as Code, automation, monitoring, performance tuning, and cost optimization . Organizational information: All applications will be treated in strict confidentiality Please note that only shortlisted candidates will be invited to an interview Originally posted on Himalayas