Must Have Technical/Functional Skills
Strong hands-on expertise with modern data platforms and architectures, including ETL/ELT, streaming, and event-driven patterns.
• Proven ability to build/guide scalable data pipelines, data models, and integration patterns across heterogeneous sources and platforms.
• Experience implementing AI/GenAI solutions in the enterprise contexts.
• Solid engineering fundamentals, production readiness mindset.
• Working knowledge of data governance and cataloging tools/processes (e.g., Collibra/Alation/Informatica) and ability to embed governance into architecture.
Google Cloud exposure (preferred strong): and integration with data services (e.g., BigQuery/Cloud Storage) and scalable runtime options.
Roles & Responsibilities
15+ years of experience in Data Solution Architecture with experience in Cloud Data Management Platforms.
• At least 3-4 years of work experience in data management disciplines including data integration, data modeling, optimization, data lifecycle management and data quality.
• Strong hands on experience with modern data platforms and architectures.
• Deep understanding of ETL/ELT, streaming, and event driven patterns.
• Proficiency in SQL, Python, and big data query optimization.
• Develop data models, pipelines, APIs, and integration strategies across multiple data sources and platforms.
• Ensure architectures support analytics, AI/ML, and business intelligence use cases.
• Promoting best practices in coding, design, and performance optimization.
• Familiarity with data governance tools (Collibra, Alation, Informatica etc.).
• Skilled working across multiple deployment environments including cloud, on-premises and hybrid.
• Excellent communication and stakeholder management skills.
Salary Range: $100,000 to $130,000 per year
