Role: Data & AI Solution Architect Experience:

15+ Years Location:

Long Term work assignment in South Africa

Role Overview: We are seeking a highly experienced

Data & AI Solution Architect to lead enterprise-scale Data, Analytics, Cloud, and AI transformation initiatives. The ideal candidate will possess a strong foundation in

Data Engineering, Data Architecture, Modern Data Platforms, Advanced Analytics, and Cloud Technologies , coupled with hands-on experience delivering

Generative AI and/or Agentic AI solutions on leading hyperscaler platforms such as

Microsoft Azure, AWS, or Google Cloud Platform (GCP).

This role will drive solution architecture, technology strategy, and end-to-end delivery of large-scale data modernization and AI transformation programs for global enterprises.

Key Responsibilities

Data & Analytics Architecture Architect enterprise Data & AI solutions aligned with business and technology objectives. Design scalable data platforms leveraging modern cloud-native architectures. Define enterprise data strategies including Data Lake, Lakehouse, Data Warehouse, Data Mesh, and Data Fabric architectures. Establish data governance, metadata management, data quality, and master data management frameworks. Lead data modernization and cloud migration programs.

Data Engineering Leadership Design and govern large-scale batch and real-time data pipelines. Define data ingestion, transformation, orchestration, and storage strategies.

Drive implementation of modern data engineering frameworks using Spark, Kafka, Databricks, Snowflake, and cloud-native services. Mentor engineering teams and establish architecture standards and best practices.



AI & Generative AI Solutioning Design and implement enterprise Generative AI solutions powered by Large Language Models (LLMs). Lead development of Retrieval-Augmented Generation (RAG) architectures. Define AI governance, responsible AI, security, and compliance frameworks.

Build Agentic AI solutions using autonomous agents, orchestration frameworks, and multi-agent architectures. Evaluate and integrate OpenAI, Anthropic, Gemini, Claude, Bedrock, Vertex AI, and other foundation models. Cloud Architecture Architect cloud-native solutions on Azure, AWS, or GCP. Lead cloud migration, modernization, and optimization initiatives. Drive platform engineering, security, scalability, and reliability best practices.

Collaborate with enterprise architects, business stakeholders, and delivery teams. Stakeholder Management Serve as a trusted advisor for C-level executives and business leaders. Lead client workshops, architecture reviews, and solution presentations. Support pre-sales, solution estimation, and proposal development activities.

Required Skills

Data & Analytics Data Architecture Data Engineering Data Lakehouse Architecture Data Warehousing Data Modeling Data Governance Metadata Management Master Data Management (MDM) Data Quality Frameworks Real-Time Analytics

Cloud Platforms (Any One Mandatory)



Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP)

Modern Data Platforms Databricks Snowflake Microsoft Fabric Azure Synapse Analytics BigQuery Redshift

Data Engineering Tools Apache Spark PySpark Kafka Airflow Data Factory dbt Python SQL

AI / GenAI / Agentic AI Large Language Models (LLMs) Retrieval Augmented Generation (RAG) Prompt Engineering AI Agents & Multi-Agent Systems Agentic AI Frameworks LangChain LangGraph CrewAI Semantic Kernel Vector Databases AI Governance MLOps / LLMOps

Preferred Qualifications Experience architecting enterprise-scale AI transformation solutions. Exposure to OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI.

Experience with AI copilots, knowledge assistants, and intelligent automation solutions. Strong background in enterprise architecture and consulting engagements.

Experience supporting large global clients across industries.

Relevant Cloud

Certifications (Azure/AWS/GCP) preferred. TOGAF, Databricks, Snowflake, or AI certifications are advantageous.

Education Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or related field.

Ideal Candidate Profile 15+ years in Data Analytics, and Cloud Architecture. 5+ years leading cloud-native data modernization programs. 2+ years architecting and delivering Generative AI or Agentic AI solutions. Proven experience with

Databricks, Snowflake, Microsoft Fabric, Spark, and modern data platforms . Robust consulting, stakeholder management, and solutioning capabilities. Ability to lead architecture discussions from strategy through implementation.

📌 Data & AI Solution Architect (Mumbai)
🏢 Zensar Technologies
📍 Mumbai