|February 7, 2024
Job Title: Microsoft Azure Machine Learning Data Architect
Spyglass MTG (Microsoft Technology Group) is a Microsoft Gold Certified Partner. We hire people who are professional consultants in addition to being highly competent performers in their specific discipline. As a Consultant at Spyglass MTG you will be working on projects to develop Microsoft technology focused solutions for a variety of clients in industries such as Financial Services, Healthcare, Life Sciences, Manufacturing and Higher Education. Our office is located in Lincoln, RI, however our clients are typically located in the Greater Boston and New England area. You will be working in a team environment that consists of Spyglass and Client members.
We are seeking a skilled and experienced Microsoft Azure Machine Learning Data Architect to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and managing end-to-end data and machine learning solutions on the Azure platform. As a key member of our team, you will play a crucial role in shaping our data architecture and ensuring the successful integration of machine learning technologies.
- Design and implement robust, scalable, and secure data architecture solutions on the Microsoft Azure platform.
- Collaborate with cross-functional teams to understand business requirements and translate them into effective data and machine learning solutions.
- Develop and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, and deployment.
- Optimize and tune machine learning models for performance and accuracy.
- Collaborate with data engineers to build and maintain data pipelines for efficient data processing and storage.
- Stay abreast of the latest trends and advancements in machine learning and data architecture on Azure, and provide recommendations for continuous improvement.
- Ensure data governance and compliance standards are met throughout the data lifecycle.
- Work closely with stakeholders to gather insights and provide data-driven recommendations.
- Provide mentorship and guidance to junior team members in the areas of data architecture and machine learning best practices.
- Collaborate with Azure DevOps teams for seamless integration and continuous deployment of machine learning models.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience as a Data Architect or Machine Learning Engineer with a focus on Microsoft Azure.
- Strong proficiency in designing and implementing data solutions using Azure services such as Azure Machine Learning, Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
- Expertise in building and deploying machine learning models using Azure ML Services.
- Solid programming skills in languages such as Python or R.
- Experience with big data technologies and frameworks (e.g., Spark) on Azure.
- In-depth knowledge of data modeling, ETL processes, and data warehousing.
- Familiarity with data security, privacy, and compliance standards on Azure.
- Excellent communication and collaboration skills.
- Relevant certifications such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure Data Engineer Associate are a plus.
- Medical, Vision and Dental Plans
- Life and Disability Insurance
- Open PTO Policy
- Holiday PTO
- Paid training certification
- Bonus plan
- Flexible working arrangements
- & more
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, citizenship, age, disability or protected veteran status.