• Reviews existing solutions with development team to identify proper restructure into micro-services model utilizing best industry best practices. • Facilitates the development of new software solutions into microservices model utilizing best industry best practices. • Develops and sustains microservices factory utilizing COTS and open source solutions to automate the creation, deployment, and management CI/CD pipeline.

Role Description 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. Qualifications - 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. Company Description 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.

• Create detailed floor plans and elevation sets based on project requirements • Develop comprehensive CAD drawings for architectural and engineering purposes • Prepare accurate Geometric Dimensioning and Tolerancing (GD&T) callouts for manufacturing documentation • Produce and annotate multi-sheet electrical schematics to industry standards • Design and review PCB layouts, integrating best practices for manufacturability and functionality • Collaborate through exchanges to clarify requirements and resolve technical questions • Deliver thorough documentation packages consistent with project milestones and quality expectations

• Join our dynamic organization, a leader in Professional services, committed to leveraging cutting-edge technology to drive business success • Engage key subject matter experts across the business to ensure defined business processes leverage best practices and meet the true needs of each organization • Serve as point of contact for assigned business leaders • Identify and secure approval of key business leaders and stakeholders for business processes and scope of work • Implement changes on actual systems in SAP ECC SD and SM and other departments • Support COE TEAM in Transformation Activities • Conduct SAP ECC SD & SM assessments to identify improvements and suggest best practices • Conduct problem analysis of SAP ECC SD and SM and take actions to improve • Evaluate all current processes in the SAP ECC SD and SM to develop standards related to best practices • Participate in system testing (UT/SIT/UAT), prepare documentation, and provide training to end-users and super users