Senior Data Engineer and Lead [12yrs+]

We are looking for a 12yrs+ experienced Enterprise Data Architect to lead the design and implementation of the core data, metadata, governance, lineage, and contextual intelligence architecture. This role requires a strong combination of enterprise architecture expertise, hands-on coding capability, engineering leadership, and production-grade code review skills.

Key Responsibilities

• Define and implement domain-driven enterprise data architecture
• Design canonical data models, ontology frameworks, and metadata standards
• Build enterprise-scale governance, lineage, auditability, and traceability architecture
• Design graph-based relationship mapping and contextual intelligence models
• Develop entity resolution, context enrichment, and semantic modelling capabilities
• Architect streaming data pipelines and execution analytics using Kafka and Spark
• Design bronze/silver/gold data models and idempotent execution patterns
• Support API/interface contract modelling and system registry integration
• Implement metadata persistence, retrieval, and governance analytics strategies
• Lead engineering teams with hands-on development and effective production-grade code reviews

Required Skills

• Enterprise data architecture and governance
• 12+ years of experience in enterprise data architecture
• Metadata management and lineage architecture
• MDM, entity resolution, ontology, and semantic modelling
• Graph databases and relationship modelling
• Kafka, Spark, and cloud-native data engineering
• Vector databases and semantic retrieval concepts
• AI-assisted metadata enrichment and contextual intelligence
• Modern DevOps practices and Git workflows
• Strong hands-on coding expertise (mandatory)
• Strong leadership and code review capabilities

Preferred Experience

• Experience in banking or regulated industries
• Exposure to governance and metadata platforms
• Product/platform engineering background preferred
• We are seeking a technically strong and visionary leader who can build scalable, AI-enabled enterprise data platforms while driving engineering excellence and governance maturity across the organization.