Data Architect

Data Architect

Remote

Contract

We are seeking a highly skilled and experienced Data Architect with expertise in Natural Language Processing (NLP) to join our innovative team. As a Data Architect, you will play a crucial role in designing and implementing robust data architectures that support advanced NLP applications and drive business value.

Responsibilities:

• Design and develop scalable and efficient data architectures that enable the seamless integration of NLP technologies

• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and translate them into technical solutions

• Evaluate and select appropriate NLP tools, frameworks, and libraries to support text processing, sentiment analysis, named entity recognition, and other NLP tasks

• Develop and maintain data pipelines and workflows to process, transform, and analyze large volumes of unstructured text data

• Ensure data quality, security, and compliance with industry standards and regulations

• Optimize data storage and retrieval mechanisms to support efficient NLP model training and inference

• Contribute to the development of NLP models and algorithms, working closely with data scientists and machine learning engineers

• Stay up-to-date with the latest advancements in NLP and data architecture, and propose innovative solutions to improve system performance and capabilities

• Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and knowledge sharing

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field

• 5+ years of experience as a Data Architect, with a strong focus on designing and implementing data solutions for NLP applications

• Deep understanding of NLP concepts, techniques, and algorithms, such as text preprocessing, tokenization, lemmatization, POS tagging, NER, feature extraction, semantic analysis, and language modeling

• Proficiency in programming languages commonly used in NLP, such as Python, Java, or R

• Experience with NLP frameworks and libraries, such as NLTK, spaCy, Stanford CoreNLP, or TensorFlow

• Expertise in designing and optimizing data storage systems, such as relational databases, NoSQL databases, and data lakes

• Knowledge of big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka

• Familiarity with cloud platforms, such as AWS, Google Cloud, or Microsoft Azure, and their NLP services

• Strong problem-solving skills and the ability to think creatively to overcome technical challenges

• Excellent communication and collaboration skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences