Lead the design of complex cloud and data platform engagements, shaping technical direction in a hybrid work environment.

About the Company

SquareShift is a leading technology partner that specializes in designing and building production cloud, data, and AI/ML systems. As a Google Cloud Premier Partner and Looker Delivery-Verified Partner, SquareShift collaborates primarily with Independent Software Vendors (ISVs) and enterprises, leveraging advanced data engineering practices and innovative solutions.

Role Overview

We are seeking a skilled Technical Architect located in Chennai, India, to lead our most complex client engagements in the areas of Cloud & Data Platforms, AI/ML, and Observability. In this hybrid role, you will be responsible for setting the technical direction and ensuring high-quality delivery of projects.

Key Responsibilities

• Architecture & Design: Lead end-to-end architecture for engagements utilizing GCP services like BigQuery, Cloud Run, and Kubernetes while documenting decisions.
• Hands-On Build: Develop reference implementations and critical portions of code that enhance project delivery efficiency.
• Pre-Sales & Technical Strategy: Collaborate with business development teams in scoping calls and technical workshops to translate client needs into architectural solutions.
• Building Reusable Solutions: Create and maintain accelerators and best practices within your practice area to streamline future engagements.

Tech Stack

The Technical Architect will work extensively with:

• Cloud Platforms: Google Cloud Platform (GCP), BigQuery, Cloud Run, GKE, Dataflow
• Data Solutions: Looker, LookML, Elasticsearch/OpenSearch
• AI/ML Tools: Vertex AI, agent frameworks, modern data stack tools (dbt, Airflow)

Why This Role Is Worth Your Time

You will be involved in meaningful architecture that delivers tangible outcomes, working directly with high-profile partners, and influence on a cutting-edge AI roadmap. Experience the depth of varied engagements without the chaos typical in body-shop models.

• 10+ years in software/data engineering, with at least 3 years in an architect, principal, or staff-level role owning systems end-to-end.
• Deep expertise in Cloud & Data (BigQuery, GCP services), AI/ML (production LLM applications), or Observability (Elasticsearch/OpenSearch).
• Proven track record of systems with production traffic that you designed and built.
• Strong communication skills for clear architectural documentation.
• Practical mindset focused on delivering optimal outcomes.

• Competitive salary for technical roles in the industry.
• Opportunity to engage in production-level architecture, not just planning.
• Access to collaborate with top engineering teams from Google Cloud and Elastic.
• A chance to influence product roadmaps in AI and data solutions.