Solutions Architect

Key Responsibilities:

Define enterprise-wide Data & Analytics architecture roadmap

Own GCP-based data platform architecture (BigQuery, Cloud Functions, Automation Frameworks)

Design scalable data models, datamarts, semantic layers, and self-service analytics solutions

Architect AI/ML and GenAI solutions using Vertex AI, Gemini, and modern cloud technologies

Establish ELT/ETL, real-time ingestion, event-driven, and API-based integration patterns

Drive data governance, metadata management, lineage, quality, and security frameworks

Ensure compliance with GDPR, access control policies, and enterprise security standards

Lead architecture reviews and provide technical leadership to engineering teams

Define observability, monitoring, FinOps, and performance optimization standards

Collaborate with enterprise architects, product owners, analysts, and data scientists

Required Skills & Experience:

10+ years in Data Engineering, Analytics, BI, and Data Platform solutions

4+ years as Data Architect / Solution Architect

Strong expertise in GCP (BigQuery, Cloud Functions, Dataflow, Cloud Composer)

Experience with ETL/ELT pipelines, Lakehouse Architecture, Medallion Architecture, and Data Modelling

Strong SQL and Python programming skills

Experience with Looker and semantic layer design

Hands-on experience with Vertex AI, Gemini, AI/ML platforms, and GenAI solutions

Knowledge of API integrations, event-driven architectures, and streaming platforms

Experience with Terraform or other IaC tools

Strong understanding of Data Governance, Metadata, Lineage, GDPR, and Security Frameworks

Experience integrating SAP, Salesforce Marketing Cloud, E-commerce, and enterprise applications

Strong stakeholder management, leadership, and communication skills