Job Description As a Manager/Architect Data Engineer, you will lead large-scale digital transformation projects by designing and implementing robust, cloud-native data platforms. Your role involves guiding strategic architecture and hands-on delivery, collaborating with stakeholders to develop data ecosystems that foster business innovation and growth. Responsibilities Your Impact - Architecture & Strategy - Define end-to-end data architecture strategies using Azure and Databricks, ensuring scalability, security, and compliance with enterprise standards. - Lead the selection of appropriate data technologies, frameworks, and patterns based on use case considerations such as cost, performance, and maintainability. - Develop and maintain architectural roadmaps for data platform modernization. - Solution Design & Delivery - Translate complex business requirements into scalable, modular data architectures. - Design and implement data ingestion, processing, storage, and consumption layers following modern data engineering practices. - Create reusable components and frameworks to streamline future development efforts. - Technical Leadership - Provide technical guidance to engineering teams, reviewing solutions to ensure architectural principles are followed. - Assist in estimating project scope, timelines, and resources. - Promote best practices in data engineering, including CI/CD, testing, and automation. - Client Engagement & Collaboration - Partner with business and technical stakeholders to understand objectives and co-develop data-driven solutions. - Lead architecture reviews, design workshops, and technical deep dives with clients. - Operational Excellence - Monitor and optimize the performance and reliability of data solutions. - Lead initiatives in automation, observability, and platform health monitoring. Qualifications Your Skills & Experience - Proven experience designing and implementing scalable data pipelines and architectures with Azure and Databricks. - Expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database. - Strong Python programming skills for data transformation and pipeline development. - Experience with various data storage solutions: columnar (e.g., BigQuery, Redshift, Vertica), NoSQL (e.g., Cosmos DB, DynamoDB), and relational databases (e.g., SQL Server, Oracle, MySQL). - Solid understanding of ETL/ELT, data modeling (dimensional, star/snowflake), and distributed frameworks like Spark. - Familiarity with CI/CD, Git, and deployment automation tools. - Excellent communication and stakeholder management skills. Additional Information Set Yourself Apart With - Knowledge of DevOps and DataOps practices in cloud environments. - Experience with multi-cloud (AWS, GCP) and hybrid cloud architectures. This position is full-time and open for permanent or contractor roles. #J-18808-Ljbffr