Google Cloud Cortex - Solutions Architect - 8 to 10 yrs Exp

Position Title: Solutions Architect Google Cloud Cortex

Location: India (Remote/Hybrid)

Experience: 810 years

Work Timings: 2:00 PM 11:00 PM IST

Employment Type: Full-Time

About the Role

We are seeking an experienced Solutions Architect with deep expertise in Google Cloud Cortex Framework to lead end-to-end cloud architecture, data modernization, and enterprise analytics initiatives. This role requires strong architectural thinking, hands-on technical execution, and the ability to collaborate with global stakeholders to deliver scalable, reliable, and insight-driven cloud solutions.

Key Responsibilities

1. End-to-End Cloud Architecture & Delivery

Define end-to-end cloud strategy, architecture, and execution covering migration, modernization, and

optimization of enterprise workloads.

Design robust architectures leveraging Google Cloud Cortex Framework, BigQuery, Dataflow, Dataform,

Looker/LookML, Vertex AI, and related GCP services.

Translate functional and analytical requirements into scalable, secure, cost-optimized technical solutions.

Architect and implement ETL/ELT pipelines, data transformations, semantic layers, and analytical data

models.

Ensure alignment with GCP best practices, enterprise security standards, and data governance

frameworks.

2. Data Engineering & KPI Harmonization

Resolve data inconsistencies and ensure harmonized KPIs across multiple data sources.

Design and build data ingestion frameworks including SAP source system extraction (added advantage).

Prepare, cleanse, and transform datasets for analytical and visualization use cases.

Establish architectural patterns for data quality, metadata management, lineage tracking, and

performance optimization.

3. Client & Stakeholder Collaboration

Partner with business teams, product owners, and global stakeholders to understand analytical and

reporting needs.

Communicate architectural decisions, trade-offs, and recommendations clearly and effectively.

Facilitate technical workshops and guide teams through best practice adoption.

4. Technical Leadership

Provide thought leadership on Cortex-based architectures and reusable design accelerators.

Mentor engineering teams on development, deployment, and operational excellence.

Conduct architecture reviews, performance assessments, and troubleshoot complex issues.

5. Project Execution & Documentation

Own solution design artifactsHLD, LLD, data flow diagrams, and technical specifications.

Oversee delivery quality, ensuring milestones are met on time and with the expected rigor.

Collaborate with cross-functional teams to ensure smooth end-to-end project implementation.

Technical Skills & Experience

Mandatory

810 years in cloud, data engineering, analytics, or solution architecture roles.

Hands-on experience with Google Cloud Cortex Framework (required).

Strong expertise across Google Cloud Platform (GCP):

o BigQuery, Cloud Storage, Dataflow, Pub/Sub

o Cloud Composer, Looker/LookMLo Vertex AI (preferred)

Demonstrated experience in:

o Cloud migration & modernization strategies

o ETL/ELT design and implementation

o Data modeling (dimensional, semantic, enterprise models)

o Designing scalable data pipelines and analytics architectures

Strong foundation in data preparation, transformation, optimization, logging, monitoring, and

performance tuning.

Preferred

Experience extracting data from SAP systems (e.g., ECC, S/4HANA, BW).

Exposure to Data Mesh, Data Governance, or MDM frameworks.

Experience working with US-based cross-functional engineering teams.

Familiarity with Contact Center AI (optional).