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. Requirements • 18+ years of IT experience with at least 10 years in Enterprise Data & Analytics Architecture. • Strong expertise in AWS Cloud services including S3, Glue, EMR, Lambda, Redshift, Athena, IAM, Lake Formation, Step Functions, CloudWatch, EventBridge, ECS/EKS, and related services. • Extensive hands-on experience with Databricks, Delta Lake, Unity Catalog, Spark, PySpark, and Lakehouse architecture. • Strong understanding of enterprise Data Warehouse, Data Lake, and Lakehouse architectures. • Expertise in modern data engineering principles, ETL/ELT frameworks, metadata management, data governance, and master data management. • Strong knowledge of SQL, distributed data processing, cloud-native architecture patterns, and scalable data platform design. • Experience designing enterprise integration architectures using APIs, streaming technologies, messaging systems, and event-driven architectures. • Deep understanding of cloud migration strategies, modernization approaches, and hybrid architecture patterns. • Strong stakeholder management with proven experience interacting directly with executive leadership. • Excellent consulting, advisory, presentation, and communication skills. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.