Overview
We are seeking a Senior Data Architect to help design and scale data solutions that support analytics across advertising, sales, and marketing domains. This is a hands‑on architecture role focused on building reliable data models, shaping data flows, and partnering with both technical and business teams to deliver high‑quality insights.
You will work across multiple data domains - including agency data, sales pipeline insights, campaign performance, and marketing measurement - and help define the architectural patterns that support these use cases.
Key Responsibilities
Architecture & Design
Design end‑to‑end data architectures that support analytics, reporting, and advanced data use cases.
Build dimensional models, semantic layers, and scalable data structures.
Create architecture diagrams, data flow documentation, and technical wikis.
Contribute to best practices for cloud‑based data processing and storage.
Collaboration & Delivery
Work within an Agile environment, participating in refinement, planning, and backlog discussions.
Partner with product, data management, engineering, and business teams to translate requirements into practical data solutions.
Provide architectural guidance to development teams and ensure alignment with standards.
Support delivery teams by reviewing designs, identifying risks, and ensuring data quality.
Data Domain Focus
Ingesting and harmonizing advertising and agency datasets.
Modeling sales order, pipeline, and forecasting data.
Structuring campaign performance, delivery, and engagement metrics.
Supporting marketing measurement, attribution, and optimization datasets.
Preferred Technical Skills (Flexible / Open)
Candidates may come from various cloud, data engineering, or analytics backgrounds. Experience in any of the following areas is valuable:
Cloud & Data Platforms
Experience with cloud data ecosystems (AWS, Azure, GCP, or similar).
Familiarity with modern data platforms such as Databricks, Snowflake, BigQuery, Redshift, or similar technologies.
Data Engineering & Processing
Hands‑on experience with distributed data processing tools (Spark, PySpark, SQL‑based engines, or equivalent).
Ability to design and optimize data pipelines for performance and scalability.
Modeling & Architecture
Strong understanding of dimensional modeling, semantic layers, and analytical data structures.
Experience designing star schemas, fact/dimension models, or unified data models.
General Technical Strengths
Solid SQL skills and comfort working with large datasets.
Ability to evaluate architectural tradeoffs and propose scalable solutions.
Experience with documentation tools (Lucidchart, Confluence, or similar).
What We're Looking For
7+ years of experience in data architecture, data engineering, or related technical roles.
Strong problem‑solving skills and the ability to translate business needs into technical designs.
Comfortable working across multiple data domains and collaborating with cross‑functional teams.
Ability to communicate complex technical concepts in a clear, approachable way.
Experience in advertising, media, marketing analytics, or sales data is a plus - but not required.
GCS is acting as an Employment Business in relation to this vacancy.
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