Data Architect - Azure Platform

Description :

Role Overview :

Our client is looking for a hands-on Data Architect who can define and design enterprise-grade data architectures, including data lakes, data warehouses, and lakehouse environments.

The role involves driving data strategy, enabling analytics and AI/ML use cases, and ensuring data quality and governance across the organization.

Key Responsibilities :

- Define enterprise data strategy & architecture roadmap.

- Design scalable data lakes, warehouses & lakehouse architectures using Azure Synapse, ADLS, and Databricks.

- Build robust data models Dimensional, Data Vault 2.0, MDM.

- Architect ETL/ELT pipelines (ADF, Spark, Kafka/Event Hubs).

- Implement DataOps (CI/CD, versioning, monitoring, automated validations).

- Lead data governance with Purview/Collibra (lineage, metadata, access control).

- Optimize performance & cost for large insurance datasets.

- Enable AI/ML workloads including feature stores & training pipelines.

- Collaborate with business, analytics & engineering teams on enterprise-wide initiatives.

Required Skills :

- Strong expertise in Azure Data Platform (Synapse, ADLS Gen2, ADF, Databricks).

- Deep knowledge of data modeling and modern medallion/lakehouse patterns.

- Experience in real-time, batch, CDC & API-based integrations.

- Strong understanding of data governance, lineage, security & compliance.

- Mandatory experience in Insurance domain (policies, claims, billing, ACORD, etc.).

- Proven leadership in architecture reviews & mentoring teams.

Preferred Certifications :

- Azure DP-203, AZ-305

- Snowflake, Databricks, AWS/GCP Data Certifications

- CDMP