What are the responsibilities and job description for the Solution Architect position at Mega Cloud Lab?
The Solution Architect will lead onsite engagement for a data and analytics transformation program, working closely with business and technology stakeholders to translate requirements into scalable BI and data solutions. This role includes guiding data foundation build-out, enabling advanced analytics and insights, and ensuring smooth communication with the offshore delivery team.
Key Responsibilities
Key Responsibilities
- Engage with business teams to define reporting, analytics, and Conversational BI requirements
- Assess current data and BI landscape and define target-state architecture
- Oversee creation of data pipelines, semantic layers, and reporting assets
- Guide adoption of advanced analytics using statistical/ML/LLM techniques where applicable
- Ensure robust governance, DevOps readiness, and IaC-based deployment
- Act as the primary onsite liaison for requirement clarity, knowledge sharing, and stakeholder communication
- Strong experience in enterprise data warehousing, BI architecture, and large-scale analytics delivery
- Deep understanding of data modeling for analytics (dimensional & semantic layer design)
- Hands-on expertise with ETL/ELT patterns and orchestration
- Strong knowledge of data governance, metadata management, security models, and IAM for data platforms
- Experience with BI tools (preferably Looker or equivalent enterprise-grade platforms)
- Awareness of AI/ML techniques for insight automation, anomaly/outlier detection
- Strong understanding of DevOps concepts for data: CI/CD, code-based delivery, versioning
- Proficiency in cloud-based data analytics platforms (GCP experience highly advantageous; BigQuery familiarity a plus)
- Excellent stakeholder management, business communication, and requirement discovery skills
- Ability to operate in an onsite–offshore model, driving clarity and collaboration