Data & AI Architect

About the Role

We are seeking an experienced Data & AI Architect to lead the design and implementation of enterprise-scale data platforms and AI-driven solutions. The ideal candidate will have extensive experience in enterprise architecture, cloud technologies, data engineering, machine learning, and AI solution development.

You will work closely with business stakeholders, product teams, and engineering teams to define scalable architectures that enable data-driven decision-making and AI innovation.

Key Responsibilities
Design and implement enterprise-scale Data & AI architectures aligned with business objectives.
Lead the architecture of Data Lakes, Data Warehouses, ETL/ELT pipelines, and AI platforms.
Design scalable AI/ML solutions and support deployment of machine learning models into production.
Collaborate with business stakeholders to translate business requirements into technical solutions.
Develop data integration, governance, security, and compliance frameworks.
Define reference architectures, technical standards, APIs, and integration patterns.
Evaluate emerging AI technologies and recommend innovative solutions.
Provide technical leadership and mentorship to Data Engineers, AI Engineers, and Data Scientists.
Ensure architecture aligns with enterprise standards, security, scalability, and performance requirements.
Work closely with Product Owners, PMO, Agile teams, and Enterprise Architects to deliver business outcomes.
Drive cloud-native architecture using AWS, Azure, or Google Cloud Platform.
Participate in architecture governance, solution reviews, and technology roadmaps.
Required Skills & Experience
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related discipline.
10+ years of experience in Data Architecture, Enterprise Architecture, or Solution Architecture.
Strong experience designing enterprise Data Lakes, Data Warehouses, and AI platforms.
Hands-on experience with AI, Machine Learning, Generative AI, and LLM-based solutions.
Expertise in Data Modeling, ETL/ELT, Data Integration, and Data Governance.
Strong programming skills in Python (mandatory), Java, or Scala.
Experience with cloud platforms:
Microsoft Azure
AWS
Google Cloud Platform (GCP)
Experience with:
Azure AI
Azure OpenAI
Azure ML
Databricks
Synapse Analytics
Snowflake
Kafka
Spark
Strong understanding of REST APIs, Microservices, and Event-Driven Architecture.
Excellent stakeholder management and communication skills.