Data Architect - R01570398

Brillio 2; Bengaluru; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

Brillio in Bengaluru seeks a Data Architect with 7–10 years of experience in data architecture, data science and AI architecture. You will design robust data pipelines and frameworks to support analytics, ML and AI workloads.

You will develop statistical and AI models, lead production deployment, ensure data quality, and collaborate with data scientists to optimize workflows using KubeFlow and BentoML. Technical leadership in emerging AI tech is required.

Qualifications

• 7–10 years of experience in data architecture, data science, AI architecture.
• Design data pipelines to support analytics, ML and AI workloads.
• Develop statistical and AI models including regression and forecasting.
• Lead integration of probabilistic graph models and AI into production.
• Collaborate with data scientists and engineers to optimize workflows.
• Ensure data quality using validation frameworks like Great Expectations and Evidently AI.
• Evaluate ML/AI frameworks for scalable deployment.

Responsibilities

• Design and architect robust data pipelines and frameworks to support advanced analytics, ML, and AI workloads
• Develop and implement statistical and AI models, including regression, classification, forecasting techniques, and deep learning architectures
• Lead the integration of probabilistic graph models and advanced statistical tests into production systems
• Collaborate with data scientists and engineering teams to optimize data workflows and AI model deployment using 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 ML/AI frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet) for scalable deployment
• Provide technical leadership in the adoption of emerging technologies and best practices in data architecture, advanced analytics, and AI solutions

Skills

Python

PySpark

Statistical analysis

SAS

SPSS

Hypothesis testing

Regression

Probabilistic graph models

Great Expectations

Evidently AI

KubeFlow

BentoML

TensorFlow

PyTorch

ML deployment

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related

Certification in Data Architecture

Certification in ML frameworks (TensorFlow, AWS ML, etc.)

Tools

KubeFlow

BentoML

TensorFlow

PyTorch

Sci-Kit Learn

CNTK

Keras

MXNet

Job description

Data Architect

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

• Bachelor's 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)