Big Data Architect

Job Title: Data Architect AWS / Databricks / Snowflake

Position Overview

We are seeking a hands-on Data Architect to support a high-impact Advertising & Media Sales Data Platform within the Demand Generation (Sales & Marketing) organization. This role requires deep technical expertise in modern cloud data platforms, combined with strong architectural design capabilities.

The ideal candidate will have a strong background in AWS, Databricks (Spark), and Snowflake, along with proven experience designing scalable data architectures and dimensional data models.

Key Responsibilities

• Design and implement end-to-end cloud data architecture on AWS
• Develop and maintain:
• Dimensional data models (star schema, fact/dimension design)
• Semantic data layers
• Architecture diagrams (e.g., Lucidchart)
• Technical documentation (wiki, design artifacts)
• Work within a SAFe Agile environment, participating in:
• Backlog refinement
• Technical design discussions
• Collaborate with:
• Product Managers
• Enterprise Data Management teams
• Business stakeholders
• Provide technical leadership and guidance to engineering teams
• Ensure scalability, performance, and data quality across platforms

Core Data Domains

• Advertising agency data
• Sales order and pipeline data
• Campaign performance data
• Marketing measurement and attribution

Required Qualifications

Technical Skills (Must-Have)

• AWS Data Ecosystem
• Strong architecture-level understanding of AWS data services
• Databricks (Critical Requirement)
• Deep expertise in Apache Spark
• Spark SQL, DataFrames
• Snowflake
• Strong experience in Snowflake-based data solutions
• Dimensional Modeling (Very Important)
• Proven experience designing:
• Star schemas
• Fact and dimension tables
• Unified data models
• Semantic layers

Preferred Qualifications

• Experience in AdTech / Advertising domain
• Knowledge of Master Data Management (MDM)
• Exposure to streaming technologies (Kafka, Kinesis)
• Familiarity with AI-driven architecture or automation tools

Ideal Candidate Profile

• Hands-on Data Architect, not purely conceptual
• Strong in Databricks + Spark + AWS + Snowflake
• Deep expertise in data modeling and architecture design
• Ability to communicate effectively with both technical and business stakeholders
• T-shaped skillset with focus on Demand Generation / Marketing data

What Will Not Be a Fit

• Architects without hands-on technical depth
• Candidates lacking Spark/Databricks experience
• Profiles limited to Redshift without Snowflake