Role Overview :

We are seeking highly skilled Data Architects/AI Architects to design and build scalable data and AI architecture frameworks that support enterprise-wide analytics, machine learning, and AI-driven business solutions.

The ideal candidate will possess deep expertise in Data Architecture, AI Architecture, Cloud Data Platforms, Data Modeling, and Enterprise Data Strategy.

This role requires professionals who can design robust data ecosystems, architect scalable AI platforms, and enable organizations to leverage data as a strategic asset for decision-making, innovation, and business growth.

Key Responsibilities :

- Design and implement scalable enterprise data architecture frameworks

- Develop AI architecture strategies to support machine learning and AI-driven applications

- Define data governance, security, and compliance standards across data platforms

- Design cloud-based data platforms for storage, processing, analytics, and AI workloads

- Build scalable data models supporting business intelligence, analytics, and AI use cases

- Architect modern data pipelines for data ingestion, transformation, and processing

- Collaborate with business, engineering, and analytics teams to define enterprise data strategy

- Design architecture for AI/ML model deployment and production scalability

- Ensure data quality, integrity, availability, and reliability across enterprise systems

- Optimize data architecture for performance, scalability, and cost efficiency

- Evaluate emerging technologies in data engineering, AI platforms, and cloud architecture

- Drive modernization initiatives for enterprise data and AI ecosystems

Key Result Areas (KRAs) :

- Deliver scalable and future-ready data and AI architecture solutions

- Improve enterprise data accessibility, quality, and governance

- Enable faster AI adoption through robust architecture and infrastructure design

- Improve performance and scalability of data platforms and AI systems

- Enhance efficiency of data pipelines and cloud data operations

- Ensure strong compliance, governance, and security across data ecosystems

- Support faster analytics and business decision-making with optimized architecture

- Reduce infrastructure cost through efficient cloud and platform optimization

- Improve reliability and uptime of enterprise data and AI systems

- Drive innovation in enterprise data strategy and AI transformation initiatives

Required Technical Skills :

- Strong expertise in Data Architecture

- Strong expertise in AI Architecture

- Hands-on experience with Cloud Data Platforms

- Strong knowledge of Enterprise Data Strategy

- Expertise in Data Modeling for transactional and analytical systems

- Experience designing modern Data Lakes, Data Warehouses, and Lakehouse architectures

- Strong understanding of ETL/ELT pipelines and large-scale data processing

- Experience with cloud platforms such as AWS, Azure, or GCP

- Knowledge of AI/ML infrastructure and model deployment architecture

- Experience with distributed systems and scalable data processing frameworks

- Strong understanding of data governance, privacy, and compliance frameworks

- Experience with database technologies including SQL and NoSQL systems

- Knowledge of real-time and batch data processing architectures

- Experience with API integration and enterprise system interoperability

Required Professional Skills :

- Strong analytical and problem-solving skills

- Excellent stakeholder management and communication skills

- Ability to translate business needs into scalable architecture solutions

- Strong strategic thinking and solution design capabilities

- Strong execution and ownership mindset

- Ability to work in complex enterprise environments

- Strong collaboration and cross-functional leadership skills

- Ability to manage multiple priorities in fast-paced environments

Preferred Skills :

- Experience in enterprise digital transformation programs

- Exposure to AI/ML platform engineering and MLOps

- Experience with big data technologies such as Spark, Hadoop, or Kafka

- Familiarity with data observability and monitoring tools

- Experience in regulated industries such as BFSI, healthcare, or telecom

- Exposure to Generative AI and LLM infrastructure architecture

- Experience in building enterprise analytics and reporting platforms