Data Architect

1 day ago

Gurgaon, Haryana, India CODERS BRAIN Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Key Responsibilities

Architectural Leadership Skills

- Design and implement scalable, secure, and high-performance data architectures to support AI/ML workloads, analytics, and real-time data processing.

- Architect data platforms that enable experimentation, model training, and deployment for classical ML, deep learning, NLP, and GenAI use cases.

- Lead the development of data lakes, feature stores, and analytical data marts optimized for both operational and research use cases.

- Define and enforce architectural standards, data governance policies, and best practices across data science, engineering, and analytics teams.

- Collaborate with cross-functional teams to align data architecture with business strategy and analytical goals.

Technical Expertise & Experience

- Translate analytical and AI/ML requirements into scalable data infrastructure and pipelines.

- Develop and support end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring.

- Hands-on experience with Classical ML algorithms (e.g., regression, decision trees, ensemble methods), Deep Learning architectures (CNNs, RNNs, Transformers), and NLP models (BERT, GPT, T5).

- Architect and integrate Generative AI solutions using LLMs, prompt engineering, and retrieval-augmented generation (RAG) techniques.

- Implement DevOps practices including CI/CD pipelines, infrastructure as code, automated testing, and monitoring.

- Ensure high standards of code quality, modularity, and reusability across data and ML pipelines.

- Integrate modern data technologies such as Spark, Kafka, Delta Lake, and NoSQL databases.

- Collaborate with data scientists to design feature stores, model registries, and scalable ML infrastructure.

- Build and optimize data solutions on Microsoft Azure, including Azure Copilot Studio, Azure AI Foundry, Azure Data Factory, Synapse Analytics, Azure Databricks, Blob Storage, and Azure Machine Learning.

Required Qualifications

- 12+ years of experience in data architecture, data engineering, and data science.

- Strong programming skills in Python, SQL, and relevant scripting languages.

- Deep understanding of data modeling, ETL/ELT processes, and distributed computing.

- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch), NLP libraries (e.g., spaCy, Hugging Face), and GenAI tools (e.g., LangChain, LLMs).

- Proven experience with DevOps tools (ADO, Git, Terraform, Kubernetes).

- Expertise in Microsoft Azure preferred

- Familiarity with MLOps practices and model lifecycle management.

Preferred Skills

- Azure certifications (e.g., Azure Solutions Architect, Azure Data Scientist Assoc.).

- Experience with data mesh, real-time analytics, and streaming architectures.

- Knowledge of data privacy regulations (e.g., GDPR, HIPAA).

- Exposure to AI/ML infrastructure and GenAI safety frameworks.

Soft Skills

- Excellent communication and stakeholder engagement skills.

- Ability to lead cross-functional teams and manage competing priorities.

- Strategic thinking with a hands-on approach to execution.

- Passion for innovation, continuous learning, and mentoring. Role & responsibilities

Preferred candidate profile

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