Senior Solution Architect

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Tiger Analytics is looking for a highly experienced Senior Data & Analytics Solution Architect to lead enterprise-scale modernization and digital transformation initiatives. The ideal candidate will have deep expertise in AWS and Databricks, extensive experience designing enterprise data platforms, and the ability to engage with CXO-level stakeholders to define future-state architectures. This role requires strong consulting, advisory, and technical leadership skills to drive large-scale Data & AI transformation programs.

Key Responsibilities

• Lead enterprise Data & Analytics architecture engagements, designing scalable, secure, and future-ready solutions using AWS and Databricks aligned with business objectives.
• Assess existing legacy data ecosystems and define target-state architecture, modernization roadmaps, migration strategies, and technology blueprints for enterprise transformation programs.
• Act as a trusted advisor to senior client stakeholders (CXO, VP, Director level), conducting architecture workshops, technical discovery sessions, and strategic consulting engagements.
• Drive end-to-end solution architecture across cloud data platforms, including data lakes, lakehouses, enterprise data warehouses, streaming platforms, metadata management, governance, and analytics ecosystems.
• Define enterprise architecture standards, reusable design patterns, best practices, and governance frameworks while ensuring alignment with organizational technology strategies.
• Lead technical solutioning discussions involving clients, implementation partners, and cross-functional delivery teams to ensure architecture consistency and successful program execution.
• Design scalable data ingestion, transformation, storage, and analytics architectures supporting structured, semi-structured, and unstructured data.
• Collaborate closely with business, product, engineering, and data science teams to translate business requirements into scalable technical solutions.
• Recommend platform accelerators, reusable frameworks, automation opportunities, and optimization strategies to improve delivery efficiency and reduce implementation timelines.
• Provide architectural oversight throughout project execution, reviewing technical designs, resolving complex technical challenges, and mentoring global engineering teams.
• Lead architecture governance by conducting solution reviews, ensuring compliance with enterprise security, scalability, performance, and data governance standards.
• Drive cloud modernization initiatives involving migration from legacy data platforms to AWS-based cloud-native architectures.
• Evaluate emerging technologies and recommend innovative solutions across Data Engineering, AI/ML, GenAI, and cloud ecosystems.
• Support proposal development, solution estimations, RFP responses, technical presentations, and executive-level client discussions.