Principal Engineer responsible for Azure, EDF, and Databricks solutions. Leading technical projects in big data for Syneos Health.
Responsibilities
Provide technical leadership and guidance to teams and clients throughout the solution lifecycle
Troubleshoot and resolve complex issues related to Cloud based Data Lake and Data Mesh environments
Stay current with emerging technologies and trends and recommend best practices
Design, develop, and implement scalable and secure cloud solutions for Big Data Platforms interfacing with API, file, SQL databases
Architect and optimize data pipelines using distributed cloud computing to ensure that they support high volume / high velocity data streams and are scalable to meet growth expectations
Develop guidelines and plans for performance tuning of a Big Data /NoSQL environment with underlying impact analysis of distributed jobs to enhance data processing, analytics, and machine learning capabilities
Implement a mixed batch/near-real time architecture to analyze, index, and publish data for applications
Develop and implement strategies for data governance, security, and compliance
Create and maintain comprehensive documentation for solution designs, configurations, and best practices
Provide training and support to clients and internal teams on solution architecture
Engage with clients to understand their business needs and deliver tailored cloud solutions
Conduct presentations, demos, and workshops to showcase Data Lake Capabilities
Requirements
Bachelor’s degree in computer science, Engineering, or a related field; advanced degree preferred
Strong experience with Azure, EDF and Databricks
SME in cloud engineering or solution architecture with a focus on Azure and related capabilities
Experience with DevOps and best practices for Coding in a distributed Cloud environment
Command of Data Movement, Analysis, Modeling best practices
Excellent written and verbal communications; Solid written and oral presentation skills
Excellent problem-solving skills, strong communication abilities, and the ability to work collaboratively in a team environment
Demonstrated ability to define business use cases and measure / communicate proposed project benefits
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