Data/ Solution Architect

Responsibilities

Design and implement a scalable, modern cloud-based data platform. Architect and maintain batch and streaming data pipelines. Define and enforce data modeling standards and governance practices. Ensure platform performance, scalability, reliability, and security. Lead technical design decisions and define long-term architectural roadmaps. Review code, enforce engineering best practices, and guide future data hires. Design data foundations to support forecasting, attribution modeling, CDP integrations, and marketing analytics. Collaborate with Product, BI, and Data Science teams to create analytics-ready datasets. Act as the internal technical authority for all data architecture decisions.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field. 8–10 years of experience in Data Engineering or Data Architecture. Strong hands-on coding expertise in SQL and Python. Experience building modern cloud data platforms (Google Cloud preferred). Advanced experience with DBT and data modeling best practices. Experience designing and implementing batch and streaming data pipelines. Strong knowledge of data orchestration tools and workflow management. Deep understanding of performance optimization, scalability, and system reliability. Experience supporting analytics and AI use cases (forecasting, attribution, ML workflows). Familiarity with data governance, data quality frameworks, and scalable architecture standards. Experience in marketing, media, or performance-driven data environments is highly preferred. Strong communication skills with the ability to translate complex architecture into business language.