• 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.

• Design and deliver reliable, high-quality product experiences that directly impact growth and patient outcomes. • Own projects end-to-end, partnering closely with Product, Design, Analytics, and other engineers to run experiments, ship improvements, and iterate based on real data. • Build and evolve systems behind patient acquisition surfaces, registration flows, eligibility verification, and the end-to-end onboarding experience that converts someone who needs care into someone who’s getting it. • Be a technical leader on the team: mentoring others, surfacing constraints and tradeoffs early, and modeling strong ownership, urgency, and follow-through.

• Design and deliver reliable, high-quality product experiences that directly impact growth and patient outcomes. • Own features end-to-end, partnering closely with Product, Design, Analytics, and other engineers to run experiments, ship improvements, and iterate based on real data. • Build systems for scale by optimizing for performance, correctness, and resilience as the business grows

• Own the overall solution architecture for client implementations. • Serve as a trusted advisor to executive client stakeholders. • Lead solution design and drive platform adoption. • Provide oversight across the client implementation portfolio. • Lead discovery calls, post-conference reviews, and client communications. • Mentor and develop Solution Consultants. • Contribute to thought leadership and process improvement.