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1156 – Solution Architect Lead

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Remote from
LATAM
Salary
USD 4,500–5,500 / mo
Employment
Contract
Experience
Senior
Published
Apply before
6 Nov 2026
Listing views
19
Application actions
1
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AI Summary

The role, at a glance.

This Solution Architect Lead role owns the design and delivery of end-to-end data and analytics architectures, from source-system ingestion through warehousing, transformation, and reporting. The lead will run discovery sessions, translate business needs into technical roadmaps, and serve as the primary technical contact for client stakeholders. The position also manages and mentors data engineers, analysts, and BI developers while ensuring delivery quality and alignment with architecture standards. Candidates need 5–7+ years of relevant experience, strong SQL and data-modeling knowledge, and hands-on experience with a major cloud data platform. The role is remote, client-facing, and may require travel to client sites.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role combines senior hands-on architecture decisions with client discovery, presales support, people management, and delivery accountability. Success requires broad cloud data expertise and the ability to communicate complex designs to both technical and non-technical audiences.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianBelow market
$5,000
US market range$11k–$16k
AI insightThe disclosed offer is USD 4,500–5,500 per month, with a monthly midpoint of USD 5,000. For a US-market Solution Architect Lead focused on cloud data and analytics, an estimated competitive market range is approximately USD 11,000–15,500 per month; this market estimate reflects the role's seniority, technical scope, client ownership, and people-management responsibilities.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you approach a client discovery session for a new analytics engagement?

I would begin by clarifying the business decisions the client needs to improve, the desired outcomes, key users, and measurable success criteria. I would then inventory source systems, data quality constraints, security requirements, reporting needs, and delivery timelines before documenting assumptions, risks, and an initial architecture recommendation.

Describe how you would choose between Snowflake, Databricks, and a native cloud data stack.

I would assess workload patterns, data types, existing cloud commitments, governance needs, team skills, cost model, and the balance between BI, engineering, and machine-learning use cases. The recommendation should be tied to the client’s operating model and future roadmap rather than selecting a platform based solely on technical preference.

What steps do you take to ensure a data solution is built according to the intended architecture?

I create clear architecture diagrams, design specifications, interface contracts, and acceptance criteria early in the engagement. During delivery, I use regular technical reviews, code and model standards, milestone demonstrations, and risk tracking to validate implementation decisions and address deviations quickly.

How do you explain a complex data architecture to non-technical executives?

I focus on the business capabilities, expected outcomes, cost and risk tradeoffs, and the phased path to value. I use simplified diagrams and plain language, reserving implementation detail for technical teams while clearly communicating what decisions are needed from leadership.

How would you manage and mentor a team of data engineers, analysts, and BI developers?

I would establish shared delivery standards, role clarity, realistic workload planning, and recurring one-on-one coaching. I would use architecture reviews and practical feedback to develop skills, while connecting each contributor’s work to client outcomes and maintaining accountability for quality and timelines.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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)

  • Bachelor’s or master’s degree in computer science, Information Systems, or a related field, or equivalent experience

  • Willingness to travel to client sites as engagements require

Compensation:

  • The salary range offered for this position varies from (USD) $4,500 – $5,500 per month, depending on seniority and skillset.

  • This position is for a full time contract, through a payroll platform.

  • The talent will work remotely allocated at our client.

Here are the steps for this process:

Application review/approval > Screening interview with GoFasti’s team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.

Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.

Note for Candidates Approached Directly:
If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.

Thank you!

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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