About
Deliver technical leadership and mentorship to both onshore and offshore team members, ensuring adherence to best practices in data warehouse architecture and processing methodologies.
As a Solutions Architect, you will be responsible for the project’s overall success. Build strong relationships with clients, facilitate positive engagements, and effectively resolve issues to foster a productive work environment.
Utilize and enhance Neudesic's Intellectual Property in your implementations, and contribute as a thought leader to improve our capabilities for delivering consistent and efficient solutions.
Gain a deep understanding of customer businesses to apply technology effectively, identifying opportunities for expanded service offerings beyond the data & analytics scope.
Engage actively in the sales process with current and potential clients, defining project scope, architecture, deliverables, resources, timelines, and pricing.
This position can be performed anywhere in the US. As part of IBM's integration of Neudesic, your recruitment process will be managed by IBM, the hiring organization. Required Technical and Professional Expertise At least 10 years of experience in consulting, specifically delivering Data & Analytics solutions.
Strong technical foundation across various technologies for delivering Data & Analytics solutions, particularly on Microsoft Azure.
Proven ability to architect Enterprise Data & Analytics solutions on the Azure platform in fast-paced environments.
Experience in sales support roles, crafting visions for optimal solutions based on customer needs and preparing project estimates and proposals.
Exceptional oral, written, and presentation skills.
Technology Requirements Experience with Azure implementations, including but not limited to: Azure Data Lake, Azure Data Factory, Azure Synapse, Azure SQL, Databricks, and Power BI.
Familiarity with Azure DevOps and Continuous Integration/Development methodologies.
Knowledge of On-Premise tools such as SQL Server and SQL Server Integration Services.
Preferred Technical and Professional Experience Microsoft Azure Certification in Azure Data Engineering.
Experience with Predictive Analytics and Machine Learning.
Background in front-end tool implementations (e.g., Tableau, Qlik).
Familiarity with other cloud platforms such as AWS and GCP.
IBM is dedicated to fostering a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, or any other characteristic. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Languages
- English
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