Top Data Management Executive directs the design and development of data strategies and processes to support the organization's current and future data asset requirements and meet business goals and objectives. Defines and implements the architecture, systems, and roadmap to obtain, store, integrate and manage data. Being a Top Data Management Executive utilizes data warehouses, stores, and other business intelligence systems to manage and distribute data efficiently. Establishes data governance standards and policies to develop data management guidelines that will ensure data accuracy, reliability, and security. Additionally, Top Data Management Executive adheres to data privacy regulations to ensure sensitive data is protected. Studies and evaluates emerging technologies to enhance data capabilities and operations. Requires a bachelor's degree. Typically reports to top management. The Top Data Management Executive manages a departmental function within a broader corporate function. Develops major goals to support broad functional objectives. Approves policies developed within various sub-functions and departments. To be a Top Data Management Executive typically requires 8+ years of managerial experience. Comprehensive knowledge of the overall departmental function. (Copyright 2024 Salary.com)
If you're a Data Engineer that is passionate about designing cutting-edge data solutions a we want you to be a key player in shaping the future of our client's data infrastructure!
FT, direct hire
$110-120K -Benefits
4-5days a week onsite-Fairfield County, CT
Azure, Azure Synapse, Data Warehouse, Azure Data Lake, SQL, Big Data Platforms, ETL, database design, Azure DevOps
The ideal candidate will have a strong background in data architecture, database management, and ETL processes. As a Data Engineer, you will play a crucial role in designing, implementing, and optimizing our data infrastructure to support the organization's data-driven initiatives.
Qualifications/Competencies:
Key Technical Knowledge, Skills, and Abilities:
• Must have experience deploying modern data solutions leveraging components like
Azure functions, Azure Synapse, Azure Data Factory, Data Flows, Azure Data
Lake, Azure SQL.
• Strong level of understanding on Azure Synapse, ADLS, and Azure DevOps.
• Exhibit an understanding of Data Lake architectures, including raw, enriched, and
curated layer concepts, and ETL/ELT operations.
• Exhibit a solid understanding of database design, data warehousing concepts, big
data platforms, and ETL operations.
• Experience working with data integration techniques & self-service data
preparation.
• Experience in requirements analysis, design, and prototyping.
• Experience with DevOps tools like Azure DevOps, Jenkins, Maven etc.
• Experience in building/operating/maintaining fault tolerant and scalable data
processing integrations.
• Demonstrated experience of turning business use cases and requirements into
technical solutions.
• Ability to conduct data profiling, cataloging, and mappings for technical design and
construction of data flows.
• Strong collaboration and experience working with remote teams.
• Strong problem-solving skills with emphasis on optimization data pipelines.
• Showcase excellent communication and presentation skills for effective
collaboration with technical and non-technical stakeholders.
• Strong analytical skills and a drive to learn and master new technologies and
techniques.
• Experience working with third party providers and vendors for critical support
requirements
Education and Experience:
• Demonstrated expertise in Microsoft Azure development.
• 3-5 years of hands-on Data Warehouse architecture and development experience
withing the Microsoft Azure environment.
• Bachelor’s degree with a minimum of 3-5 years of related work experience outside
of educational studies.