Data Architect

As a Data Engineering Lead/Architect with over 10 years of experience, you will play a crucial role in architecting and designing data solutions that meet business requirements efficiently. Collaborating with cross-functional teams, you will define data architectures, models, and integration strategies to ensure the successful implementation of data pipelines, ETL processes, and data warehousing solutions. Your expertise in Snowflake technologies will be essential in building and optimizing data warehouses. You will develop and maintain Snowflake data models and schemas, following best practices such as cost analysis, resource allocation, and security configurations to support reporting and analytics needs effectively. Utilizing Azure cloud services and Databricks platforms, you will manage and process large datasets efficiently. Your responsibilities will include building, deploying, and maintaining data pipelines on Azure Data Factory, Azure Databricks, and other Azure services. Implementing best practices for data warehousing, ensuring data quality, consistency, and reliability will be a key focus area. You will also create and manage data integration processes, including real-time and batch data movement between systems. Your mastery in SQL and PL/SQL will be vital in writing complex queries to extract, transform, and load data effectively. You will optimize SQL queries and database performance for high-volume data processing to ensure seamless operations. Continuously monitoring and enhancing the performance of data pipelines and storage systems will be part of your responsibilities. You will troubleshoot and resolve data-related issues promptly to minimize downtime and maintain data availability. Documenting data engineering processes, data flows, and architectural decisions will be crucial for effective collaboration with data scientists, analysts, and stakeholders. Additionally, implementing data security measures and adhering to compliance standards like GDPR and HIPAA will be essential to protect sensitive data. In addition to your technical skills, you are expected to showcase leadership abilities by driving data engineering strategies, engaging in sales and proposal activities, developing strong customer relationships, and mentoring other team members. Your experience with cloud-based data solution architectures, client engagement, and leading technical teams will be valuable assets in this role. To qualify for this position, you should hold a bachelor's or master's degree in computer science or a related field. You must have over 10 years of experience in Data Engineering, with a strong focus on architecture. Proven expertise in Snowflake, Azure, and Databricks technologies, along with comprehensive knowledge of data warehousing concepts, ETL processes, and data integration techniques, is required. Exceptional SQL and PL/SQL skills, experience with performance tuning, and strong problem-solving abilities are essential. Excellent communication skills and relevant certifications in technologies like Snowflake and Azure will be advantageous.,