Data Architect

We are looking for a Data Architect to design and lead scalable data, analytics, AI and cloud solutions. The role will work closely with business and technical teams to translate requirements into secure, scalable and governed technical architectures.

Key Responsibilities

• Design end-to-end architectures for data, analytics, AI and Generative AI solutions.
• Architect data lakes, data warehouses, lakehouse platforms and ETL/ELT pipelines.
• Design batch and real-time data ingestion, data models, governance, quality and lineage frameworks.
• Design AI/ML and Generative AI solutions, including LLM, RAG and vector database architectures.
• Design cloud-native solutions and provide technical leadership across architecture, governance and implementation.

Key Requirements

• Bachelor's or Master's degree in Computer Science, IT, Data Science or a related field, or equivalent practical experience.
• 10+ years of IT experience, including 3+ years in Solution Architecture.
• Strong experience designing enterprise Data, Analytics, AI and ML solutions.
• Hands-on experience with AWS, Azure or Google Cloud.
• Strong knowledge of Data Warehousing, Data Lakes/Lakehouse, Data Modeling and ETL/ELT.
• Experience with Databricks, Snowflake or Microsoft Fabric.
• Knowledge of Generative AI, LLMs, RAG, Vector Databases and Prompt Engineering.
• Proficiency in Python, SQL and Spark/PySpark.
• Experience with DevOps/MLOps, CI/CD, Docker, Kubernetes and Terraform.
• Strong communication, stakeholder management and technical leadership skills.

Good to Have

• Azure: Data Factory, Synapse, Databricks, Azure AI Services, Azure OpenAI.
• AWS: S3, Glue, Redshift, SageMaker, Bedrock.
• Experience with MLflow, REST APIs and AI governance.
• Knowledge of responsible AI, model monitoring and explainability.

EA Number : 11C4879