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EY
EY Data Product Management - Manager Financial United States, New York, New York
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range...
Understanding and analyzing business requirements to translate them into technical requirements. Designing, building, and operating scalable data architecture and modeling solutions. Staying up to date with the latest trends and...
Conduct advanced research in MLOps technologies to identify innovative solutions and approaches for deploying machine learning models. Develop proof of concepts (PoCs) to validate research outcomes and demonstrate feasibility in...
Define and execute project deliverables, monitor progress, and ensure completion against goals. Manage chargeability with an emphasis on billable hours to external clients. Engage in sales activities, support service offerings...
Fostering an innovative and inclusive team-oriented work environment. Leading and coaching diverse teams of professionals with different backgrounds. Providing subject matter expertise in defining technical and business approaches. Building strong...
Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful...
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range...
Expoint is the premier job searching platform for the tech industry, and Data Architects are essential members of this fast-paced world. Data Architects are responsible for crafting structures and systems to store, integrate, and protect data. They must be highly analytical, creative thinkers, and excellent communicators, as they are charged with analyzing complex data systems and creating instructions to maintain them. Data Architects must consider the lifecycle of a system, taking into account the data’s structure, security, and resources that are necessary for a stable system.
On the project management level, Data Architects must understand the importance of project deadlines, budget constraints, and system requirements as well as overseeing other data management related processes. On the technical level, Data Architects must be knowledgeable on software, hardware, and computer system requirements. Additionally, Data Architects must understand the security protocols and best practices necessary for safe storing and accessing of data. Data Architects must also possess a deep understanding of big data trends, upcoming technology, database management systems, among other related matters.
In order to become a successful Data Architect, an individual should have an in-depth knowledge of database design and architecture as well as expertise in object-oriented programming, database optimization, and data analysis. Additionally, there are many certifications available in the tech industry that assist individuals in advancing their careers in this facet. Upon finding the right job opportunity on Expoint, an ambitious and driven individual could take advantage of such certifications to become a successful Data Architect.