Data and Solutions Architect

Job not on LinkedIn

🔥 5 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Seekerh

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Seekerh is a recruitment and selection consultancy that connects companies with the right professionals through strategic hiring, cultural-fit assessment and rapid, tech-enabled processes. The firm provides tailored recruitment, selection and on-demand talent projects, acting as a strategic partner to support sustainable organizational growth and improved hiring outcomes.

📋 Description

• Design modern data architectures and technology solutions aligned with business objectives • Eliminate silos and consolidate a single source of truth for strategic decision-making • Define standards for data modeling, integration, governance, security, data quality, and compliance with the LGPD (Brazilian General Data Protection Law) • Create scalable architectures in Cloud environments (Azure, AWS, or GCP), with a focus on Lakehouse platforms • Design end-to-end solutions that connect business requirements to technical decisions • Specify technologies, integrations, APIs, orchestration tools, and architectural patterns • Support Data Engineering, Development, and Artificial Intelligence teams • Lead technical and strategic decisions, ensuring performance, sustainability, and solution evolution • Work on building Data Lake, Data Warehouse, and Lakehouse environments • Evaluate and integrate legacy systems and ERPs, such as SAP, into modern data architectures • Define CI/CD and versioning practices for data pipelines (DataOps), including automated testing and controlled deployment • Apply FinOps principles to monitor and optimize Cloud infrastructure costs

🎯 Requirements

• Solid experience in data architecture and solution architecture • Experience designing enterprise architectures and distributed environments • Knowledge of Cloud platforms (Azure, AWS, or GCP) • Proficiency in Data Lake, Data Warehouse, Lakehouse concepts and data modeling • Experience with system integration, APIs, and data platforms, including legacy/ERP systems • Understanding of data governance, security, data quality, and LGPD compliance • Experience in digital transformation and technology innovation projects • Preferred: Hands-on experience with Databricks, Unity Catalog, and Delta Lake • Preferred: Experience with projects involving Artificial Intelligence and Machine Learning • Preferred: Knowledge of architectures for Big Data environments • Preferred: Experience delivering scalable data and AI solutions in production • Preferred: Experience integrating ERP/legacy systems (SAP, ETRM, etc.) in digital transformation contexts • Preferred: Experience with CI/CD for data using Azure DevOps, GitHub Actions, or equivalent tools • Preferred: Knowledge of FinOps practices for cost governance in Cloud and Lakehouse environments

🏖️ Benefits

• Contract type: PJ (independent contractor, no benefits) or CLT (formal employment)