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 up-to-date 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 .
- Strong consulting, stakeholder management, and solutioning capabilities.
- Ability to lead architecture discussions from strategy through implementation.

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