Job description

A fast-growing organization in the technology and data space is seeking an experienced Cloud Data Architect to lead the design and delivery of cloud-native data infrastructure and architecture initiatives. This position plays a key role in implementing scalable, secure, and high-performing data solutions that support advanced analytics, modeling, and enterprise decision-making. You’ll be responsible for driving cloud transformation strategy, developing architectural standards, and collaborating across multidisciplinary teams to support business growth and innovation. This is a high-visibility, hands-on leadership opportunity suited for a strategic thinker with strong technical depth and exceptional communication skills. Key Responsibilities • Lead architecture and design efforts for cloud-based data platforms, including data lakes, data warehouses, and ETL/ELT pipelines • Build scalable, high-volume data ingestion and processing solutions from a variety of internal and external sources • Drive the implementation of data governance, data quality controls, and security frameworks across the data lifecycle • Collaborate with business and technology stakeholders, including product teams, DevOps, BI, and data engineers, to deliver data-driven solutions • Manage tools and technologies within the cloud ecosystem to support analytics, reporting, and data science needs • Oversee the design and deployment of data models, data marts, and infrastructure components within a cloud-first strategy • Support fault-tolerant, high-availability architecture planning and ensure on-call readiness for critical issues Requirements & Qualifications • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (advanced degrees or certifications a plus) • Experience architecting real-time data streaming solutions and working with big data technologies such as Hadoop, Spark, Kafka, NoSQL, Redis, etc. • Hands-on experience with Azure Data & Analytics services, including: • Azure Data Factory • Azure Data Lake • Azure Synapse Analytics • Azure Databricks • Azure Cosmos DB (preferred) • Azure Stream Analytics • Azure SQL DB • Familiarity with Microsoft Fabric and Purview is a strong plus • Proficiency in Power BI and Power BI embedding for visualization and reporting • Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code tools such as Terraform • Proven experience scaling and integrating both open-source and enterprise technologies • Agile development experience with modern data engineering workflows • Demonstrated success delivering cloud-based data warehouse solutions from design through production

Requirements