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About the role
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
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