Senior Data Engineer

The Role

Senior Data Engineer

Your responsibilities:

Lead enterprise-wide data architecture initiatives for Insurance business functions, ensuring alignment with business strategy, regulatory requirements, and organizational data standards.

Design and maintain canonical data models, enterprise data standards, and reference architectures to promote consistency, interoperability, and reusability across platforms.

Define and implement end-to-end data architecture solutions leveraging AWS, Databricks, Oracle, PostgreSQL, MongoDB, and cloud-native data services.

Develop conceptual, logical, and physical data models using Sparx EA, Erwin, and industry best practices to support business transformation initiatives.

Design and govern data warehouse, data lake, and lakehouse architectures to support reporting, analytics, AI/ML, and regulatory compliance requirements.

Collaborate with business stakeholders, solution architects, and development teams to define data requirements and translate them into scalable technology solutions.

Your Profile

Essential skills/knowledge/experience:

Insurance speciality domain experience

Cloud & Data Platforms: AWS, Databricks, BigID, Oracle, PostgreSQL, MongoDB

Architecture & Modelling: Canonical data models/standards, Sparx EA, Erwin, DWH design, JSON & XSD schema design, Metadata frameworks, Informatica Ref360, Axon, EDC

Integration & Processing: ETL/ELT (Informatica), API design, data pipelines, Kafka, MQ, Postman

Governance & Leadership: Enterprise governance, reference architecture, Agile delivery, steering committees, stakeholder and relationship management, leading multi-disciplinary teams.