Role Summary

The technical backbone of the engagement leads the platform evaluation and designs the target-state architecture and Medallion data models.

Key Responsibilities

Platform evaluation. Define selection criteria and score Fabric, Databricks, and Snowflake objectively.
Target-state architecture. Design the future-state blueprint: ingestion, storage, modeling, orchestration, networking, security, and governance roles.
Data modeling. Design logical and physical models across Medallion layers, validated to requirements.
Governance & observability. Design audit/control, cataloging, lineage, monitoring, and cost-management/chargeback approaches.
Technical leadership. Set standards, review engineers' work, and own architecture documentation.

8+ years in data architecture/engineering, 3+ designing modern cloud data warehouse platforms.
Deep hands-on experience with at least two of Fabric, Databricks, and Snowflake.
Proven Medallion / layered lakehouse design and dimensional modeling.
Strong data governance grounding: cataloging, lineage, access controls, audit.
Ingestion/transformation patterns for APIs, relational, and file-based sources.