Remote Lead Data Analytics & Ai Insights

Félix; Quilmes; Remote; ARS 181,747,000 - 287,765,000; Full time

Benefits offered by this job

Professional growth

Education and training budgets

Flexible schedule

Remote/office options

Job summary

AgileEngine seeks a Senior Data and AI – Cloud Solution expert to design and deploy Oracle Cloud architectures, building data platforms and pipelines for analytics and AI use cases.

You will lead technical discussions, collaborate with customers and internal teams, and drive adoption of cloud-based data solutions across enterprise environments.

Qualifications

• 4+ years of professional experience developing Power BI dashboards and reports.
• Strong SQL skills and experience with data modeling.
• Experience with Snowflake or SAP analytics environments.
• Ability to translate business requirements into data models and visuals.
• Experience communicating insights to both technical and non-technical audiences.

Responsibilities

• Partner with stakeholders to understand processes, KPIs, and analytical needs.
• Design, develop, and maintain Power BI dashboards and reports.
• Translate requirements into data models, metrics, and visuals.
• Collaborate with IT and data owners to source data and ensure availability.
• Troubleshoot data and reporting issues across the data pipeline.

Skills

Power BI dashboards

Power BI modeling

SQL

Snowflake

SAP HANA

Data modeling

Data integration

Stakeholder communication

Analytical thinking

Tools

Power BI

Snowflake

SAP HANA

Job description

Senior Data and Artificial Intelligence - Cloud Solution

Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment.

What you’ll do

• Discover customer's data challenges, priorities, growth expectations, and success criteria.
• Design data platforms for integration, storage, processing, and analytics.
• Recommend data lake, lakehouse, or data warehouse approaches based on each customer’s needs and existing environment.
• Design batch and real-time pipelines, including ETL/ELT and integration across platforms.
• Help customers make informed architecture trade‑offs across security, data governance, performance, scalability, resilience, operational needs, and cost.
• Design for reliable operation, including monitoring, failure recovery, and the ability to adapt as demand grows.
• Lead technical discussions, demonstrations, and proofs of concept, and help customers bring validated solutions into production.
• Work with customer and internal teams to resolve integration and operational challenges and support long‑term adoption.
• Build the data foundation for analytics, machine learning, and generative AI use cases when relevant.

What we’re looking for

• 8+ years of experience in data engineering, data architecture, or related roles, including hands‑on experience designing enterprise data platforms that scale with demand, recover from failures, and operate reliably in production.
• Practical knowledge of distributed processing, data integration, and modern analytics architectures.
• Experience with technologies such as Spark, Databricks, Snowflake, BigQuery, or cloud data services.
• The ability to connect architecture decisions to business outcomes and explain trade‑offs to different audiences.
• Experience working directly with customers from discovery through delivery.
• Experience with OCI and multicloud architectures is a plus.

If you enjoy understanding what customers need, navigating complex data environments, and helping teams put reliable solutions into production, we’d like to hear from you.

Qué harás

• Comprender los desafíos de datos de cada cliente, sus prioridades de negocio, planes de crecimiento y criterios de éxito.
• Diseñar plataformas para integración, almacenamiento, procesamiento y análisis de datos, eligiendo arquitecturas de data lake, lakehouse o data warehouse según cada caso.
• Diseñar pipelines batch y en tiempo real, incluyendo ETL/ELT e integración entre plataformas.
• Orientar decisiones de arquitectura considerando seguridad, gobierno de datos, rendimiento, escalabilidad, resiliencia, operación y costos.
• Diseñar soluciones preparadas para operar de forma confiable en producción, con monitoreo, recuperación ante fallas y capacidad de adaptación a nuevas demandas.
• Liderar conversaciones técnicas, demostraciones y pruebas de concepto, y ayudar a llevar soluciones validadas a producción.
• Trabajar con equipos del cliente y de Oracle para resolver desafíos de integración y operación e impulsar la adopción sostenida de Oracle Cloud Infrastructure (OCI).
• Establecer la base de datos necesaria para casos de analytics, machine learning e IA generativa cuando corresponda.

Qué buscamos

• Más de 8 años de experiencia en ingeniería de datos, arquitectura de datos o funciones relacionadas, incluyendo experiencia práctica en el diseño de plataformas empresariales.
• Experiencia con plataformas que escalan, se recuperan de fallas y operan de manera confiable en producción.
• Conocimiento práctico de procesamiento distribuido, integración de datos y arquitecturas modernas de analytics.
• Experiencia con tecnologías como Spark, Databricks, Snowflake, BigQuery o servicios de datos en la nube.
• Capacidad para relacionar decisiones de arquitectura con resultados de negocio y explicar sus ventajas y compromisos a diferentes públicos.
• Experiencia trabajando directamente con clientes, desde el descubrimiento de necesidades hasta la entrega de soluciones.
• Se valorará la experiencia con OCI y arquitecturas multicloud.

Si te interesa comprender las necesidades de los clientes, trabajar en entornos de datos complejos y ayudar a los equipos a llevar soluciones confiables a producción, nos gustaría conocerte.

WHY JOIN US

AgileEngine is an Inc. 5000 company that creates award‑winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.

ABOUT THE ROLE

We are looking for a Data & Analytics Developer to build Power BI dashboards and reporting solutions that turn enterprise data into actionable business insights.

MUST HAVES

• 4+ years of strong professional experience developing Power BI dashboards and reports.
• Strong knowledge of Power BI data modeling, DAX, and visualization best practices.
• Strong SQL skills and experience working with relational and analytical data.
• Experience working with Snowflake or similar cloud‑based enterprise data platforms.
• Experience working with SAP HANA, SAP data, or SAP‑based source systems.
• Experience with data modeling, transformation, and integration concepts.
• Strong business analysis and requirements‑gathering skills.
• Ability to understand business processes and translate them into technical and data requirements.
• Ability to work effectively with both business and technical stakeholders.
• Understanding of data quality, data governance, KPI definitions, and data consistency.
• Experience coordinating or supporting the onboarding of data from enterprise source systems.
• Strong troubleshooting and problem‑solving skills across multiple layers of a data solution.
• Strong communication skills and the ability to explain data and technical concepts to non‑technical audiences.

NICE TO HAVES

• Experience designing enterprise‑level semantic models and reusable datasets.
• Experience establishing standardized KPIs and reporting definitions across multiple business areas.
• Understanding of enterprise data architecture and modern data platform concepts.
• Experience working with ETL/ELT processes and data transformation pipelines.
• Experience with additional SAP technologies or SAP analytics environments.
• Experience working in an Agile environment.
• A proactive, self‑starter mindset with the ability to independently investigate data and reporting challenges.
• Strong attention to detail and a focus on delivering reliable, intuitive, and maintainable analytics solutions.
• A desire to continually improve reporting practices, data quality, and the overall user experience.

WHAT YOU WILL DO

• Partner with business stakeholders to understand business processes, KPIs, data definitions, and analytical needs.
• Design, develop, and maintain Power BI dashboards and reports that provide clear and actionable business insights.
• Translate business requirements into appropriate data models, metrics, visualizations, and reporting solutions.
• Work with IT and source‑system owners to identify required data, understand source structures, and coordinate data availability.
• Support the onboarding and integration of data into the enterprise data platform, including Snowflake and SAP HANA data sources.
• Troubleshoot data and reporting issues across the complete flow from source system → data platform → semantic/model layer → Power BI.
• Collaborate with business data owners and technical teams to improve data consistency, quality, and reliability.
• Promote reusable data models, common KPI definitions, and scalable analytics solutions instead of isolated reports.
• Provide guidance to stakeholders on effective data visualization and the use of analytics to support decision‑making.
• Document data definitions, reporting logic, KPIs, and technical solutions.
• Work in an Agile delivery environment and collaborate with distributed and remote teams.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD‑based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.