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

Originally posted on Himalayas

Solutions Architect – Data & Analytics Practice