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Data Architect R
Job Location:
Monthly Salary:
Posted:
29 August 2026 (4 days ago)
Posted:
Application Deadline:
29 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Data Architect
Job requirements
Experience Range: With at least 7 to 10 years of experience in data architecture data science advanced statistical modeling and AI architecture Key Responsibilities:
- Design and architect robust data pipelines and frameworks to support advanced analytics machine learning and AI workloads
- Develop and implement statistical and AI models including regression (linear and logistic) classification algorithms forecasting techniques (ARIMA exponential smoothing) and deep learning architectures
- Lead the integration of probabilistic graph models advanced statistical tests (hypothesis testing T-Test Z-Test) and AI-driven solutions into production systems
- Collaborate with data scientists and engineering teams to optimize data workflows and AI model deployment using tools such as KubeFlow and BentoML
- Ensure data quality and integrity by implementing validation frameworks like Great Expectations and Evidently AI
- Manage and optimize large-scale data processing and AI environments using Python PySpark R and SAS/SPSS
- Evaluate and select appropriate machine learning and AI frameworks (TensorFlow PyTorch Sci-Kit Learn CNTK Keras MXNet) for scalable model deployment
- Provide technical leadership in the adoption of emerging technologies and best practices in data architecture advanced analytics and AI solutions
Required Skills:
- Advanced proficiency in Python and PySpark
- Expertise in statistical analysis and computing
- Hands-on experience with SAS and SPSS
- Strong knowledge of hypothesis testing T-Test and Z-Test
- Experience with regression techniques (linear and logistic)
- Proficiency in probabilistic graph models
- Familiarity with Great Expectations and Evidently AI for data validation
- Forecasting expertise using ARIMA ARIMAX and exponential smoothing
- Working knowledge of KubeFlow and BentoML
- Experience with classification algorithms (Decision Trees SVM)
- Experience architecting AI solutions and deploying deep learning models
Preferred Skills:
- Advanced experience with ML and AI frameworks such as TensorFlow PyTorch Sci-Kit Learn CNTK Keras and MXNet
- Expertise in distance metrics (Hamming Euclidean Manhattan)
- Proficiency in R and R Studio
- Experience with scalable AI model deployment in cloud environments
- Knowledge of automated model monitoring drift detection and AI lifecycle management
Desired Qualifications:
- Bachelors degree in Computer Science Data Science Statistics Mathematics or a closely related discipline
- Certification in Data Architecture Data Science or AI (e.g. Certified Data Professional Microsoft Certified: Azure Data Scientist Associate AI Architect certification)
- Certification in Machine Learning frameworks or platforms (e.g. TensorFlow Developer Certificate AWS Certified Machine Learning Specialty)
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
