Solution Architect

We Make Remote Work Remarkable • TopTalent from LatAm

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Solution Architect Lead, based in no, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Lead client discovery and requirements-gathering sessions to define business objectives, data sources, and success criteria for analytics engagements

• Design end-to-end solution architectures spanning data ingestion, modeling, warehousing, transformation, and reporting/visualization layers

• Produce architecture diagrams, technical design documents, and solution roadmaps that are clear to both technical and non-technical stakeholders

• Partner with project managers and engagement leads by serving as the primary technical point of contact for client stakeholders throughout the engagement lifecycle

• Guide and review the work of data engineers, analysts, and BI developers to ensure solutions are built to the architected design and to firm quality standards

• Contribute to internal capability building: reusable frameworks, accelerators, and architecture standards that improve delivery speed and consistency across engagements

• Support pre-sales activity, including solution scoping, effort estimation, and proposal or RFP responses

• Directly manage a team including staffing, workload balancing, and day-to-day performance management, while mentoring them on architecture best practices and client delivery standards

Requirements:

• 5- 7+ years of experience designing and delivering end-to-end data and analytics solutions, from source systems through to reporting and consumption layers

• Hands-on experience in at least one major cloud data platform (e.g., Snowflake, Databricks, AWS, Azure, or GCP) and ability to evaluate and recommend additional tools and systems

• Strong SQL skills and working knowledge of data modeling approaches (dimensional modeling, data vault, or similar)