Senior Azure Cloud Platform Engineer - Databricks & CI/CD Pipelines

Senior Azure Cloud Platform Engineer - Databricks & CI/CD Pipelines Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to deliveringfor each other, for our customers, and ultimately for the people who rely on the services we support. Discover what your 25,000 future colleagues already know: Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to building an inclusive culture where you can authentically be yourself. Central to this is our purpose Driven to Deliver which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someones life. We are continuously building the company we all want to work for and our customers want to work with. Why Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities Position Overview: We are seeking a highly skilled and experienced Senior Azure Cloud Engineer to lead the design, implementation, and optimization of Azure-based cloud solutions, with a focus on data solutions, infrastructure automation, and migration. The ideal candidate will possess a strong technical background in cloud architecture, especially in building Infrastructure as Code (IaC), designing scalable Azure Data Lake and database solutions, and driving migration strategies. As a technical leader, you will guide cross-functional teams to ensure that our cloud architecture aligns with business goals, follows best practices, and optimizes performance, security, and compliance. Key Responsibilities: 1. Technical Leadership & Strategic Guidance: o Provide technical leadership and mentorship to cross-functional teams (cloud engineers, data engineers, business stakeholders) to architect robust Azure-based data solutions. o Ensure alignment of cloud solutions with business objectives, considering current and future growth. o Stay updated with the latest Azure innovations, trends, and best practices to recommend the best solutions for complex business needs. 2. Azure Data Lake and Database Solutions: o Design and deploy scalable and high-performance Azure Data Lake storage solutions to handle large volumes of unstructured and structured data. o Architect, configure, and manage Azure SQL Database, Cosmos DB, and other database offerings to ensure high availability, disaster recovery, and optimized performance. 3. Databricks Administration & Integration: o Manage, configure, and administer Azure Databricks environments, ensuring optimal performance, scalability, and security of data processing workloads. o Collaborate with data scientists, data engineers, and analysts to integrate Azure Databricks with other Azure services (e.g., Azure Data Lake, Azure Synapse) to build scalable data processing and analytics solutions. o Implement best practices for managing Databricks clusters, notebooks, libraries, and jobs to ensure efficiency and cost optimization. o Perform regular monitoring, troubleshooting, and performance tuning of Databricks workloads, ensuring high reliability and uptime. 4. Cloud Migration Strategy & Execution: o Develop and implement comprehensive strategies for migrating on-premises data and applications to Azure with minimal disruption to business operations. o Use Azure-native tools (e.g., Azure Migrate, Data Migration Assistant) to facilitate seamless migration of data assets to the cloud. 5. Azure Data Factory (ADF) Expertise: o Design, implement, and maintain efficient data pipelines using Azure Data Factory(ADF) to orchestrate and automate ETL workflows across various data sources and destinations. o Optimize pipeline performance, manage dependencies, and ensure seamless data movement across hybrid cloud environments. 6. Database Services Optimization: o Administer and optimize Azure Database offerings such as Azure SQL Database, SQL Managed Instances, and other relational/non-relational databases. o Design high-availability, fault-tolerant architectures, and ensure efficient data replication, backup, and recovery. 7. Performance Tuning & Optimization: o Identify and address performance .