Job
Description
Overall Purpose of the Job We are seeking an experienced and innovative Data Solutions Architect to join our team. The ideal candidate will have a strong background in designing and implementing data systems, ensuring seamless integration and scalability of data solutions, and leading the design of data architectures that meet business needs. This role requires proficiency in leveraging the Azure IoT Framework to enable IoT-driven data solutions. As a Data Solutions Architect, you will work closely with cross-functional teams to create robust, secure, and scalable data solutions that empower the business to leverage data for strategic decision-making. Role & responsibilities Design and implement scalable, secure, and high-performance data architectures that meet business requirements. Lead the integration of Azure IoT Framework into the architecture, enabling real-time data ingestion, processing, and analysis from IoT devices. Collaborate with stakeholders (business, IT, and data science teams) to understand data needs and translate them into effective solutions. Oversee the full data lifecycle, including data collection, transformation, storage, and consumption. Evaluate and recommend tools, platforms, and technologies for data storage, processing, and analytics, ensuring that the solutions are aligned with business goals. Define data integration strategies, ensuring that data from disparate sources, including IoT devices and sensors, can be ingested, processed, and unified effectively. Create and enforce data governance practices, ensuring compliance with data privacy, security, and regulatory requirements. Lead and mentor teams in the development and implementation of data solutions, ensuring adherence to architectural best practices and design patterns. Ensure the scalability, reliability, and performance of data systems to handle increasing volumes of data, including large datasets from IoT sources. Stay updated on emerging trends and technologies in data management, cloud platforms, Azure IoT, and data engineering. Required Skills & Qualifications: Bachelors or masters degree in computer science, Data Engineering, Information Technology, or a related field. Proven experience (typically 5+ years) in designing, implementing, and managing large-scale data architectures. Expertise in Azure IoT Framework, including services such as Azure IoT Hub, Azure Stream Analytics, and Azure Digital Twins. Strong understanding of data management, ETL processes, and database design (e.g., SQL, NoSQL, data lakes, and data warehouses). Hands-on experience with modern data technologies and tools such as Hadoop, Spark, Kafka, and ETL frameworks. Proficiency with data governance, security, and privacy standards. Familiarity with machine learning, AI integration, and analytics platforms is a plus. Strong leadership skills with the ability to mentor and guide technical teams. Excellent problem-solving abilities and a deep understanding of system architecture and distributed systems. Excellent communication skills, both written and verbal, with the ability to translate complex technical concepts into business-friendly terms. Preferred Skills: Experience with cloud-native data platforms and services (e.g., Azure Synapse Analytics, Azure Databricks). Knowledge of data visualization and business intelligence tools (e.g., Tableau, Power BI, Looker). Experience with DevOps and CI/CD practices for data pipelines and data-driven applications. Familiarity with microservices architectures and APIs. Certifications in Azure technologies (e.g., Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure IoT Developer). Experience with edge computing and real-time data processing for IoT solutions. Required Immediate joiner.
