Job Role - Data Architect
Client - Telecom
Contract - 12+months
Role - Remote
Job Description:
This hands‑on Data Architect role supports Client's Advertising / Media Sales Data Platform, designing and scaling data solutions that power Demand Generation analytics. The architect will work across advertising agency data, sales pipeline insights, campaign performance, and marketing attribution. The position requires deep technical expertise, strong dimensional modeling capabilities, and the ability to partner effectively with both technical and business stakeholders.
Key Responsibilities
- Develop end‑to‑end data architecture for advertising and marketing analytics use cases.
- Build dimensional data models, unified semantic layers, and star schema designs.
- Produce architecture diagrams, data flow documentation, and wiki content (Lucidchart, Confluence).
- Establish best practices for AWS, Data-bricks, Snowflake, and Spark‑based processing.
Collaboration & Delivery
- Operate within a SAFe Agile environment, participating in refinement, planning, and backlog sessions.
- Partner with Product Managers, Enterprise Data Management, and business teams to translate requirements into scalable data solutions.
- Provide technical direction to development teams and ensure architectural standards are followed.
Required Technical Skills
- AWS Data Services - strong hands‑on experience with native AWS data ecosystem and architectural patterns.
- Data-bricks - deep experience building and optimising data pipelines.
- Spark / PySpark (nonnegotiable) - Spark SQL, Data Frames, distributed processing, and performance tuning.
- Snowflake - data modeling, performance optimisation, and integration with AWS/Data-bricks.
- Dimensional Modeling (critical) - star schema design, fact/dimension modeling, semantic layer creation, and unified data model development.
GCS is acting as an Employment Business in relation to this vacancy.
Data Architect
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