- Data Architecture and Design: Lead the design and development of scalable, efficient, and reliable data architecture on the Microsoft Azure cloud platform. Work closely with data architects and business stakeholders to understand data requirements and translate them into well-defined data models and data pipelines.
- Azure Data Services: Demonstrate expert-level knowledge of Microsoft Azure data services, including but not limited to Azure Data Factory, Azure Databricks, Azure Synapse Analytics (formerly Azure SQL Data Warehouse), Azure Cosmos DB, and Azure Data Lake Storage. Utilize these services to build robust and performant data solutions.
- Team Leadership: Provide technical leadership and mentorship to the data engineering team. Foster a collaborative and innovative work environment, encouraging professional growth and skill development among team members. Lead by example and inspire the team to deliver high-quality solutions.
- Data Integration and ETL: Oversee the development of data integration processes and efficient ETL (Extract, Transform, Load) workflows to ensure the seamless flow of data from diverse sources into data repositories. Implement data transformation and cleansing strategies to maintain data accuracy and consistency.
- Performance Optimization: Optimize data pipelines, data storage, and queries for maximum performance and cost-efficiency on the Azure platform. Monitor and troubleshoot data-related issues, providing timely solutions to maintain data solution stability.
- Data Governance and Security: Implement data governance policies and security measures to ensure data quality, security, and compliance with data regulations and industry standards.
- Collaboration and Communication: Collaborate effectively with data scientists, data analysts, software engineers, and other stakeholders to understand data requirements and support data-driven decision-making processes. Communicate technical concepts and solutions clearly to both technical and non-technical audiences.
- Continuous Improvement: Stay abreast of the latest advancements in Azure data services, data engineering best practices, and industry trends. Identify opportunities for process improvement, automation, and innovation to enhance data engineering capabilities.
- Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus.
- Proven experience (typically 5+ years) as a Data Engineer, with a focus on building data solutions on the Azure cloud platform.
- Extensive expertise in Microsoft Azure data services, particularly Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Cosmos DB, and Azure Data Lake Storage.
- Strong programming skills in languages such as Python, SQL, or Scala for data processing and manipulation.
- Solid understanding of data modeling, data warehousing, and ETL/ELT concepts.
- Previous experience in leading and managing a data engineering team, with the ability to provide technical guidance and mentorship.
- Knowledge of data governance, data security, and data compliance best practices.
- Familiarity with Agile methodologies and working in an Agile development environment.
- Excellent problem-solving skills and the ability to handle complex data-related challenges.
- Outstanding communication, leadership, and teamwork skills.
- Medical, Vision and Dental Plans
- Life and Disability Insurance
- Open PTO Policy
- Holiday PTO
- Paid training certification
- Bonus plan
- 401k
- Flexible working arrangements
- & more
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1 week ago
Description
: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 highly skilled and experienced Lead Azure Data Engineer to our data engineering team and drive the design and implementation of data solutions on the Microsoft Azure platform. As the Lead Azure Data Engineer, you will play a pivotal role in architecting and developing end-to-end data solutions, providing technical guidance to the team, and collaborating with cross-functional stakeholders to deliver high-quality and scalable data solutions that support our organization's data-driven initiatives.
Responsibilities:
