Assist client teams in the design and implementation of scalable data solutions using modern technologies, under the guidance of senior team members. Help identify gaps and inefficiencies in clients' existing architecture, working closely with senior colleagues to support analysis and solution development. Support the creation of roadmaps and contribute to recommendations for improving client processes and architecture, with mentorship from more experienced team members. Participate in client workshops throughout the project lifecycle, assisting with preparation, documentation, and follow-up actions. Communicate with clients to gather requirements and ensure project deliverables align with their needs, with support from senior team members. Share your ideas and contribute to discussions on innovative engineering, design, and strategy, while learning from experienced team members.
Qualifications
Minimum Qualifications Advanced proficiency in Data Architecture minimum 5 years of experience advising on data architecture Well rounded knowledge of technical and non technical aspects of data management, including Reference Data Management, Data Quality Improvement, Metadata Management, Data Marketplace and Data Governance. Experience working in a client facing consulting environment to build trusted relationships with client stakeholders and act as a trusted advisor. Proficiency in programming languages such as Python, R and in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc. Experience working with cloud platforms such as AWS, GCP, or Azure Excellent communication written and oral and interpersonal skills. Ability to apply analytical and creative thought process. Bonus qualifications Experience working with GenAI large language models LLMs and a strong enthusiasm for staying current with advancements in generative AI and applied machine learning Professional experience in data science, machine learning, and business analytics
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