Data Architecture

Technocratic Solutions is a renowned provider of technical resources on a contract basis, serving businesses worldwide. With a dedicated team of developers, we deliver top-notch software solutions in cutting-edge technologies like PHP, Java, JavaScript, Drupal, QA, Blockchain AI, and more. Our mission is to empower businesses globally by offering access to high-quality technical resources that meet project requirements and objectives. As a Data Architect at Technocratic Solutions, your primary responsibility will be to co-design a modern data platform in collaboration with our data engineering team. You will lead the design of the technical architecture for a modern data platform, aligning it with best practices for Azure Data Factory, Synapse, and Azure Data Lake. Your role will involve optimizing costs across Azure services, implementing data lake improvements, conducting detailed data modeling, and streamlining data sources for improved management and governance. Key Responsibilities: - Co-Design a Modern Data Platform: Work closely with our data engineering team to co-design a data platform that supports both application and reporting needs, ensuring scalability, security, and performance. - Data Architecture Design: Lead the design of the technical architecture for a modern data platform, aligning it with best practices for Azure Data Factory, Synapse, and Azure Data Lake. - Cost Optimization: Identify and implement optimizations to reduce costs across our Azure services, including deduplication and efficient data storage solutions. - Azure Data Lake Improvements: Consolidate multiple data workspaces within Azure Data Lake for better management, performance, and cost-efficiency. - Data Modeling: Assist in detailed data modeling at table and view granularity, ensuring data consistency and reliability. - Data Source Consolidation: Streamline data sources to improve management, governance, and data quality, laying the foundation for future data initiatives. Required Skills and Qualifications: - Proven Experience: 5+ years of experience in data engineering with a focus on Azure Data Factory, Synapse, and other Azure services. - Data Platform Expertise: Hands-on experience designing and implementing medium to large data platforms in Azure, covering both application and reporting requirements. - Technical Leadership: Experience co-designing data architecture, working closely with internal teams to guide best practices and implementations. - Azure Expertise: In-depth knowledge of Azure Data Factory, Synapse, Azure Data Lake, and other Azure cloud services. - Cost Optimization: Demonstrated ability to optimize cloud services, reduce costs, and improve performance in large-scale data environments. - Data Modeling: Strong expertise in data modeling at a detailed level, ensuring the accuracy and integrity of data. - Data Management & Governance: Experience in consolidating and managing multiple data sources and workspaces in Azure environments.,