Principal Solution Architect Cloud Data Solutions

About the Role

We are seeking an experienced Principal Solution Architect to spearhead the design, development, and implementation of sophisticated cloud-based digital platforms and data solutions for our most strategic clients.

As a trusted advisor, you will play a pivotal leadership role in guiding organizations through data modernization, cloud transformation, and AI/ML adoption journeys. This position requires not only deep technical expertise across AWS, Azure, GCP, and OCI, but also the ability to influence business and IT leaders, foster client confidence, and drive measurable transformation. This is a high-impact leadership role for someone passionate about shaping enterprise-wide data strategies, driving innovation through GenAI, LLMs, and automation, and ensuring successful delivery of complex, cross-industry programs.

Key Responsibilities

1. Solution Design & Technical Leadership:

• Lead the end-to-end architecture and design of large-scale, enterprise-grade data ecosystems, including
• Data Lakes, Data Warehouses, and Data Mesh Architectures.
• Real-time and batch data pipelines for ingestion, transformation, and consumption.
• Cloud-native data platforms with high availability, scalability, and security.
• Establish reference architectures, design patterns, and best practices for data engineering, analytics, and AI integration.
• Provide technical governance across solution design, build, and deployment phases to ensure quality and consistency.

2. Client Engagement & Pre-Sales Enablement

• Partner with CxOs, business stakeholders, and technology leaders to understand strategic priorities and business challenges.
• Translate business needs into actionable architecture blueprints and articulate the value of modern data solutions.
• Support pre-sales activities, including:
• RFP/RFI responses, solution proposals, and cost models.
• Presentations, workshops, and executive-level discussions.
• Hands-on demonstrations and proof-of-concepts.

3. Data Strategy & Modernization

• Drive data modernization programs, helping clients adopt:
• Cloud-native services (Fabric, Purview, BigQuery, Redshift, Databricks, Snowflake, etc.).
• Big data frameworks (Spark, Kafka, Flink).
• GenAI/LLM capabilities for intelligent insights, natural language interaction, and automation.
• Develop roadmaps for data governance, compliance, and security, aligned with regulatory and industry standards.
• Advise clients on data monetization strategies, embedding analytics and AI into core business processes.

4. Industry Expertise & Innovation

• Apply domain expertise to design tailored data strategies for industries such as:
• Banking & Financial Services (BFSI): Regulatory compliance, fraud detection, and customer analytics.
• Retail & E-commerce: Personalization, demand forecasting, and supply chain optimization.
• Manufacturing & Supply Chain: Smart factories, IoT/edge integration, and predictive maintenance.
• Evangelize emerging technologies, such as Agentic AI and hyper-intelligent automation, ensuring our solutions remain ahead of the curve.

5. Leadership & Mentorship

• Lead and mentor cross-functional technical teams (architects, engineers, data scientists).
• Build a culture of innovation, continuous learning, and excellence within project teams.
• Collaborate with product and delivery teams to ensure solutions are delivered on-time, within budget, and exceeding client expectations.

Requirements

Required Qualifications & Skills

• Experience: 10+ years in IT, with at least 5 years in data architecture and solution architecture leadership roles.
• Cloud Expertise: Deep, hands-on experience across AWS, Azure, GCP, and OCI. Specific expertise in:
• Azure: Microsoft Fabric, Data Lake, Data Factory, Power BI, Purview, Copilot.
• GCP: BigQuery, Vertex AI, Gemini.
• AWS: S3, Glue, Redshift, EMR, Lake Formation.
• OCI: Autonomous Data Warehouse, Goldengate, Data Flow.
• AI/ML Integration: Strong knowledge of embedding AI/ML models, GenAI, and LLMs into data pipelines and platforms.
• Leadership: Exceptional communication, presentation, and executive engagement skills. Ability to lead large teams and influence client stakeholders.
• Problem-Solving: Strategic mindset with proven experience designing complex, multi-cloud solutions.
• Education: Bachelor’s or master’s in computer science, Engineering, or related field.

Preferred Qualifications

• Certifications: Cloud architecture certifications across AWS, Azure, GCP, and OCI
• Industry Knowledge: Experience delivering solutions in regulated industries (banking, healthcare, government).
• Emerging Tech: Familiarity with Agentic AI, automation frameworks, and advanced data governance platforms.
• Thought Leadership: Experience in publishing whitepapers, speaking at conferences, or contributing to open-source initiatives.