Data Architect
- Tata Consultancy
- 8 - 13 years
- Hyderabad
- 1 month ago
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Job Description
Role & responsibilities
- Lead the end-to-end design and implementation of data science solutions for business-critical applications, ensuring scalability, performance, and compliance.
- Conduct advanced data profiling, cleansing, and exploratory data analysis to uncover actionable insights and inform model development.
- Develop, validate, and deploy AI/ML models (including supervised, unsupervised, and deep learning algorithms) using Python, R, and modern ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Design and implement Generative AI solutions (e.g., LLMs, RAG, AI agents) for enterprise use cases, leveraging platforms such as OpenAI, Azure AI, or AWS SageMaker.
- Champion data governance, responsible AI principles, and model interpretability, ensuring solutions are ethical, transparent, and compliant with regulatory standards.
- Collaborate with cross-functional teams (business, engineering, product, and leadership) to gather requirements and translate business needs into technical solutions and strategic data science roadmaps.
- Provide technical leadership and mentorship across data science projects, conducting design reviews and enforcing development standards.
- Architect and optimize data pipelines for model training, evaluation, and deployment, integrating with core business systems and cloud platforms.
- Develop and maintain documentation for data science workflows, model architectures, and integration patterns.
- Stay current with emerging trends in AI/ML, GenAI, and data engineering, acting as a subject matter expert and driving continuous innovation.
Preferred candidate profile
- Proven, hands-on experience designing and deploying solutions using:
- - Data profiling and analysis tools (e.g., Pandas, SQL, Power BI)
- - Machine learning frameworks (scikit-learn, TensorFlow, PyTorch)
- - Generative AI platforms (OpenAI, Azure AI, AWS SageMaker)
- - Python and R for data science and ML
- Strong understanding of machine learning algorithms, model lifecycle management, and MLOps best practices.
- Demonstrable experience in designing data governance, data strategy, and responsible AI frameworks.
- Deep knowledge of cloud-native architecture and data engineering (Azure, AWS, or GCP).
- Experience with data pipelines, feature engineering, and model deployment in production environments.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Tata ConsultancyLocation(s): Hyderabad+ View Contact
Keyskills: Data Architecture ETL MLops Python
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