Data Architect (GCP, Snowflake)

Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

As a Data Architect, you will lead data architecture and engineering initiatives within GCP environments, including designing, evolving, and governing data platforms built on GCP and Snowflake. You will work closely with clients to define data strategies, design scalable architectures, and guide implementation teams. You will play a key role in shaping future-state data architectures, roadmaps, and implementation plans, while ensuring data platforms are secure, scalable, and aligned with business goals.

📍 Location: This role requires on-site work in the United States

🚀 Your main responsibilities:

• Lead data architecture and engineering projects within GCP and Snowflake environments, including migration, transformation, and platform design.

• Design end-to-end data architectures (ingestion, storage, processing, and serving layers).

• Define and guide implementation of data integration, ETL/ELT strategies, and pipeline architectures.

• Develop logical and physical data models, schemas, and data structures across business domains.

• Guide clients on data strategy, architecture decisions, and best practices across GCP.

• Design and enforce data governance, security, and access control frameworks.

• Work closely with security teams to ensure data protection and compliance.

• Lead client workshops to identify data sources, flows, and requirements.

• Define future-state architectures, roadmaps, and implementation plans.

• Collaborate with cross-functional teams (data scientists, engineers, business stakeholders) to deliver data solutions.

• Evaluate and select tools, frameworks, and architectural patterns.

• Provide technical leadership and mentorship to engineering teams.

• Oversee performance optimization, scalability, and cost efficiency of data platforms.