This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data & AI Architect based in India.
This role offers the opportunity to shape the future of enterprise data and artificial intelligence platforms by designing scalable, secure, and innovative solutions. The successful candidate will lead architecture initiatives across cloud data platforms, analytics ecosystems, and AI-driven capabilities. You will play a key role in enabling advanced machine learning, generative AI, and intelligent decision-making through modern data architectures. Working closely with engineering, data science, and business teams, you will translate strategic objectives into practical technology solutions. This position requires strong architectural vision, deep technical expertise, and the ability to drive innovation in a fast-evolving technology landscape. You will contribute to building future-ready platforms that support business growth, operational excellence, and responsible AI adoption.
Accountabilities:
The Data & AI Architect will be responsible for defining, designing, and evolving enterprise-scale data and AI architectures while ensuring scalability, security, governance, and alignment with business objectives.
- Design and evolve enterprise data architectures, including data lakes, data warehouses, data marts, and lakehouse platforms.
- Build AI-ready data ecosystems supporting analytics, machine learning, generative AI, and intelligent automation use cases.
- Architect cloud-native data platforms using Microsoft Azure services for scalable data ingestion, processing, storage, and analytics.
- Establish architecture standards, best practices, governance frameworks, and technical guidelines for enterprise data platforms.
- Design AI architectures supporting machine learning, Retrieval-Augmented Generation (RAG), Agentic AI, vector search, embeddings, semantic retrieval, and LLM-based applications.
- Collaborate with data science teams to develop AI-powered solutions and decision automation workflows.
- Architect modern data engineering solutions using technologies such as Azure Data Lake, Azure Data Factory, Databricks, Spark, and Azure Machine Learning.
- Define scalable ETL/ELT pipelines, real-time data integration patterns, and optimized data models for structured and unstructured data.
- Ensure platform performance, reliability, scalability, security, and cost optimization.
- Implement data governance practices covering metadata management, data lineage, master data management, quality, privacy, and compliance.
- Promote responsible AI practices, including explainability, ethical AI implementation, and model risk management.
- Act as a technical advisor for enterprise data and AI initiatives, guiding teams on architecture decisions and implementation approaches.
- Mentor engineering, architecture, and data teams while promoting technical excellence and continuous improvement.
- Evaluate emerging AI and cloud technologies, develop proof-of-concepts, and contribute to long-term technology strategy.
Requirements:
The ideal candidate is an experienced technology professional with a strong background in enterprise data architecture, cloud platforms, and AI solution design, combined with excellent communication and leadership abilities.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical discipline.
- 9+ years of experience designing and implementing enterprise-scale data and analytics platforms.
- Strong expertise in cloud-native data and AI solutions, particularly within Microsoft Azure environments.
- Deep knowledge of data modeling, data warehousing, lakehouse architecture, and modern enterprise data platforms.
- Hands-on experience with SQL Server, Azure Data Lake, Azure Data Factory, Databricks, Spark, Python, and CI/CD pipelines.
- Experience designing AI-ready architectures supporting machine learning and generative AI workloads.
- Strong understanding of MLOps and LLMOps practices, including tools and frameworks such as MLflow, Azure Machine Learning, LangChain, vector databases, and RAG architectures.
- Familiarity with Agentic AI frameworks such as CrewAI, LangGraph, AutoGen, or similar orchestration technologies.
- Knowledge of APIs, event-driven architecture, master data management, and cloud-native application design.
- Experience implementing data governance, AI governance, responsible AI practices, and compliance-focused architectures.
- Ability to mentor technical teams, influence architecture decisions, and drive enterprise standards.
- Excellent analytical, problem-solving, stakeholder management, and communication skills.
- Experience working with Agile methodologies, Data Mesh, or domain-driven data architectures is a plus.
- Cloud or AI certifications such as Microsoft Azure Solutions Architect, Azure AI Engineer, or equivalent credentials are an advantage.
Benefits:
- Full-time remote opportunity based in India.
- Competitive compensation package aligned with experience and expertise.
- Opportunity to work on advanced cloud, data, and AI transformation initiatives.
- Flexible remote work environment supporting collaboration across technical teams.
- Exposure to cutting-edge AI technologies, including generative AI and intelligent automation.
- Opportunities for professional growth through technical leadership and innovation projects.
- Supportive environment focused on continuous learning and knowledge sharing.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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