Solutions Architect – Data & Analytics Practice

About Us Exavalu is a US based consulting firm specialized in Digital Transformation Advisory and Digital Solution Delivery for select industries like Insurance, Healthcare and Financial Services. Our Headquarters is in California, US with multiple offices across US, Canada, and delivery centres in India. We were founded by Industry executives and Consulting principals with deep industry experience that allows us to bring advisory strength and solution expertise to clients. We’re in a hyper growth trajectory growing at over 100% year on year. Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience. Exavalu offers permanent remote working model as we believe in going where the right talent is. Job Description This is a remote position. Overview : The Solutions Architect – Data & Analytics is responsible for designing end-to-end data and analytics solutions that align business objectives with scalable, secure, and modern technology architectures. This role plays a critical part in pre-sales, solution shaping, and delivery alignment , ensuring high-quality, value-driven outcomes for clients. The Solutions Architect partners closely with sales, portfolio leads, delivery teams, and clients to translate requirements into robust architectures across cloud data platforms, analytics, and AI initiatives . Key Responsibilities Solution Architecture & Design Design end-to-end data and analytics architectures aligned to client business needs Define solution blueprints across: Data ingestion and integration Cloud data platforms and lakes Analytics, BI, and visualization Advanced analytics and AI use cases Ensure solutions are scalable, secure, resilient, and cost-effective Pre-Sales & Deal Support Partner with sales and portfolio leaders during pre-sales and pursuit activities Lead discovery workshops to understand business objectives, data challenges, and success criteria Shape solution approaches, architecture narratives, and technical sections of proposals Support effort estimation, solution sizing, and risk identification Client & Stakeholder Engagement Act as a trusted technical advisor to client stakeholders and architects Communicate complex technical concepts in business-relevant terms Collaborate with client teams to align architecture decisions with enterprise standards and roadmaps Delivery Alignment & Governance Work closely with delivery teams to ensure architecture-to-execution alignment Support program and delivery leads during solution onboarding and critical milestones Review designs and implementation approaches to ensure architectural integrity Assist in resolving complex technical challenges and escalations Innovation & Practice Enablement Contribute to the development of practice accelerators, reference architectures, and solution assets Stay current with emerging data, analytics, and AI technologies Support innovation initiatives and continuous improvement within the Data & Analytics Practice Collaboration & Knowledge Sharing Collaborate with architects across cloud, integration, security, and application domains Share best practices, lessons learned, and architectural patterns across teams Support mentoring and capability development within the practice Requirements Key Skills & Competencies Data & Analytics Technology Strong hands-on and architectural experience across: Cloud data platforms (e.g., AWS, Azure, GCP) Data warehousing and data lake architectures BI and analytics platforms Advanced analytics and AI/ML ecosystems Solid understanding of data integration, governance, security, and quality Architecture & Consulting Ability to translate business requirements into technical solutions Strong analytical and problem-solving skills Experience working in consulting or client-facing environments Communication & Stakeholder Management Clear and effective communication with technical and non-technical stakeholders Ability to influence architecture decisions across cross-functional teams Strong documentation and presentation skills Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field 12-15 years of experience in data and analytics solution design and delivery Experience supporting enterprise-scale data programs Cloud or data platform certifications preferred Success Metrics (KPIs) Quality and effectiveness of solution architectures Pre-sales win contribution and solution acceptance Delivery alignment and reduction in architecture-related risks Client satisfaction with technical leadership Contribution to practice assets and innovation Benefits Diversity Inclusion: Exavalu also promotes flexibility, adapting to the needs of employees, customers, and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also offer a welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons. At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career