Solutions Architect – Platform, Cloud Infrastructure and Security

🕒 July 31

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 22%

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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SunnyData

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SunnyData is a Databricks-focused data engineering and AI consulting firm that helps organizations modernize their data platforms, migrate legacy EDWs and data lakes to Databricks, and operationalize AI/ML and GenAI initiatives. The company provides Databricks-certified engineers, migration accelerators, data governance, MLOps, and domain expertise for industries such as healthcare and financial services.

📋 Description

• Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. • Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives. • Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings. • Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes. • Architect data solutions, incorporating best practices in data governance, security, and quality. • Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes. • Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments. • Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections. • Test data movement, transformation code, and data components to ensure accuracy and reliability.

🎯 Requirements

• 7+ years as a hands-on Solutions Architect with experience in Data Security or related areas. • Expertise in two or more of the following: Cloud Security, Cloud Networking, Encryption, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. • Designing data platforms on cloud infrastructure and services (AWS, Azure, or GCP), using best practices in cloud security and networking. • Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, cloud platforms, security, automation, networking, or identity management. • In-depth understanding of the end-to-end data analytics workflow (e.g., data modeling, ETL processes, and data integration) using modern data engineering techniques. • Ability to lead complex architecture requirements, solution design sessions, and build out implementation architecture blueprints that can be implemented by data-engineering and analytics teams. • SDLC tooling such as Github, Gitlab, Continuous Inspection such as SonarQube, and Artifact Management such as Artifactory. • Proficiency in Python, Java, or Scala. • SQL expertise: Ability to write, debug, and optimize SQL queries. • Strong written and verbal communication skills with experience in client-facing roles. • Ability to create and deliver detailed presentations to clients and stakeholders. • Experience in creating detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views. • Experience leading teams and mentoring other engineers. • Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration.

🏖️ Benefits

• Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI. • Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making. • Career Growth: Opportunities for professional development and career advancement. • Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.