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

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