Data Solutions Architect – Operational Intelligence

atNexa TecnologiaRemote

Brazil Freelance Solutions EngineerMid-levelSenior

Posted Oct 29

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Act as the technical leader for data and operational intelligence initiatives, from identifying demand to delivering the final proposal.

• Facilitate discovery sessions with operations, technology, and business executives, translating challenges into actionable use cases with quantifiable advantages.

• Analyze customer data sources, including automation systems, sensors, network devices, applications, and management systems.

• Design architectures for data collection, correlation, and visualization using Splunk, integrating operational sources with cloud solutions.

• Create operational intelligence use cases focusing on equipment efficiency, asset availability, supply chain, logistics, environmental monitoring, digital services, customer support, fraud prevention, healthcare, and public services.

• Conduct workshops, demonstrations, and proofs of concept.

• Develop technical proposals outlining scope, assumptions, sizing, data volume, and licensing models.

• Collaborate with Account Managers to attract new clients.

• Evaluate technical risks and feasibility of scope in conjunction with the operations team.

• Ensure smooth transition of solutions to implementation teams, including necessary documentation and technical handover.

• Serve as the technical liaison between NEXA leadership and internal development, artificial intelligence, and data teams.

• Assist in prioritizing internal data and artificial intelligence projects based on value, effort, and risk considerations.

• Evaluate timelines and estimate the efforts required from internal teams.

• Review internal solution architectures.

• Establish baselines and measure benefits post-project delivery.

• Transform successful internal projects into commercial reference cases.

• Keep abreast of advancements in data, observability, and artificial intelligence technologies relevant to operations.

⛳️ Requirements

• Proven experience in technical presales, solutions engineering, or consulting related to data, analytics, or observability.

• Background in working with machine or operational data, including logs, events, telemetry, sensors, or industrial systems.

• Practical experience with Splunk or a similar real-time data collection and analysis platform.

• Knowledge of data architecture and artificial intelligence solutions adequate for assessing the scope, effort, and feasibility of development projects.

• Consultative mindset with a strong track record of leading business discussions and transforming challenges into proposals.

• Splunk certifications are advantageous.

• Experience in prioritizing and managing a portfolio of data or technology projects is beneficial.

• Familiarity with generative artificial intelligence and agents applied to business processes is a plus.

• Experience leveraging artificial intelligence for operational data analysis, such as anomaly detection and predictive maintenance, is advantageous.

• A postgraduate degree in Data Science, Data Engineering, Analytics, or Management is preferred.

• Intermediate to advanced English proficiency for technical reading and communication with technology vendors is preferred.

• Bachelor’s degree in Computer Science, Computer Engineering, Production Engineering, Control and Automation Engineering, Electrical Engineering, Information Systems, Statistics, or a related field.