{"id":546845,"url":"https://alion.io/job/accenture-data-architect-7","title":"Data Architect","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2108,"ghost_share":0.001,"stale_share":0.157,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santiago, Chile"],"countries":["CL"],"hiring_countries":["CL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":72000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":781},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CAPA","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GCP","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SOAP","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-08T13:11:25Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-11-02T09:43:28Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":54},"description":"# Databricks Senior Architect / Technical LeadBuscamos un **Databricks Senior Architect / Technical Lead** para liderar técnica y arquitectónicamente un proyecto de Data & Analytics sobre Databricks. Será responsable de definir la arquitectura, liderar la construcción de pipelines, establecer buenas prácticas de ingeniería, gobierno y calidad de datos, y liderar técnicamente al equipo frente al cliente.\n### Responsabilidades\n**Arquitectura & Databricks**\n* Diseñar y gobernar arquitectura **Lakehouse / Medallion (Bronze, Silver, Gold)**.\n* Definir patrones de ingesta, transformación, batch/streaming y CDC.\n* Diseñar y gobernar **Unity Catalog**: Catalogs, Schemas, permisos, roles, ownership, lineage y governance.\n* Definir estándares de desarrollo, seguridad, performance, escalabilidad y optimización de costos.\n* Definir estrategia Dev/QA/Prod y CI/CD.\n**Lakeflow & Data Engineering**\n* Diseñar, implementar y gobernar pipelines utilizando **Databricks Lakeflow Pipelines / Lakeflow Declarative Pipelines**.\n* Definir patrones reutilizables para pipelines Bronze/Silver/Gold.\n* Implementar procesamiento incremental, CDC, batch y streaming.\n* Definir orquestación, dependencias, monitoreo, alertas, logging y error handling.\n* Revisar diseños y código, asegurando estándares de calidad y performance.\n* Experiencia con **PySpark, SQL y Delta Lake**.\n**Data Quality & Governance**\n* Definir estrategia de **Data Quality** para las diferentes capas.\n* Implementar reglas, validaciones y controles dentro de los pipelines.\n* Diseñar mecanismos de quarantine/rechazo y tratamiento de errores.\n* Asegurar metadata, lineage, ownership, seguridad y gobierno de datos.\n**Integraciones**\n* Diseñar y liderar integración entre **Databricks y Salesforce**.\n* Experiencia con Salesforce APIs, REST, SOAP y/o Bulk API.\n* Diseñar cargas incrementales/CDC, manejo de errores y monitoreo.\n* Experiencia con otras fuentes empresariales es deseable.\n**Liderazgo**\n* Liderar técnicamente un equipo de Data Engineers.\n* Asignar y priorizar actividades técnicas.\n* Realizar mentoring, coaching, design reviews y code reviews.\n* Resolver problemas técnicos complejos y actuar como escalation point.\n* Gestionar riesgos y dependencias técnicas.\n* Interactuar directamente con clientes y stakeholders técnicos/ejecutivos.\n* Ser el referente técnico y responsable de las decisiones de arquitectura.\n### Requisitos\n* **7+ años** de experiencia en Data Engineering / Data Architecture.\n* **4+ años de experiencia comprobable con Databricks**.\n* Experiencia productiva en **Lakehouse / Medallion Architecture**.\n* Experiencia práctica comprobable con **Lakeflow Pipelines / Lakeflow Declarative Pipelines**.\n* Dominio de Databricks, PySpark, SQL, Delta Lake y Unity Catalog.\n* Experiencia en Data Quality, CDC/incremental processing y CI/CD.\n* Experiencia comprobable integrando **Salesforce**.\n* Experiencia liderando equipos técnicos y trabajando directamente con clientes.\n* Inglés avanzado.\n* **Certificación Databricks vigente y comprobable**.\n### Certificaciones\n**Obligatoria:** Databricks Certified Data Engineer Professional o certificación Databricks equivalente y vigente.\nDeseables: certificaciones Databricks adicionales, AWS/Azure/GCP y Salesforce.\nLas certificaciones deberán ser **verificables mediante credencial oficial o badge digital**.\n### Perfil\nBuscamos un profesional que combine **Databricks Architecture + Lakeflow Pipelines + Data Engineering + Unity Catalog + Data Quality + Salesforce Integration + Technical Leadership**.\nNo buscamos solamente un desarrollador: necesitamos un **referente técnico capaz de definir arquitectura, liderar la ejecución, elevar las capacidades del equipo y representar técnicamente la solución frente al cliente**.\n¡Reinvéntate con Accenture!\nConstruye una carrera que te inspire y súmate a Accenture Technology, para ser parte de la reinvención continua de la tecnología y las soluciones que transforman industrias y generan impacto positivo.\nEn Accenture vivimos el futuro hoy. No solo aplicamos tecnología, la creamos. Trabajamos con las últimas innovaciones para resolver desafíos reales, combinando talento diverso, creatividad e ideas únicas. Creemos que cuando cada persona puede ser auténtica, el cambio sucede.\nEstamos en búsqueda de profesionales para el rol de Databricks Senior Architect / Technical Lead que quieran crecer, aprender y dejar su huella siendo parte de un equipo inclusivo, colaborativo y global.\nResponsabilidades Principales:\nDefinir, diseñar y construir arquitecturas de datos complejas sobre Databricks.\n\nLiderar técnicamente iniciativas de Data & Analytics y ser referente frente al cliente.\n\nDiseñar e implementar soluciones Lakehouse, pipelines de datos y estrategias de gobierno de datos.\n\nAsegurar estándares de calidad, seguridad, performance y escalabilidad de las soluciones.\n\n¿Qué necesitas para este rol?\nExperiencia sólida en Databricks (excluyente).\n\nExperiencia con Unity Catalog (excluyente).\n\nExperiencia en Arquitectura o Ingeniería de Datos.\n\nConocimientos de Python (deseable).\n\nCertificación Databricks (deseable).\n\nInglés intermedio.\n\nExperiencia liderando técnicamente equipos y participando en proyectos de transformación de datos.\n\n⭐ Bonus points:\nExperiencia con Genie AI.\n\nConocimientos de Data Governance y Data Quality.\n\nExperiencia en arquitecturas Lakehouse y proyectos de modernización de plataformas de datos.\n\nModalidad de trabajo\nRemoto o Santiago.\n\nAsistencia presencial a dependencias del cliente en Santiago 1 vez por semana.\n\n¿Por qué elegir Accenture?\nUn lugar de trabajo único, descubre algunos de los beneficios que tenemos para ti:\nDesarrollo de carrera\nJornadas Flex\n+50 mil capacitaciones y cursos disponibles (online y presencial)\nBibliotecas, libros y podcasts\nPrograma de idiomas\n⭐ ¡Certificaciones gratuitas mediante nuestros partners! +900 Reinventors certificados en Chile\nGenAI Academy, con programas exclusivos para Accenture.\n⭐⭐ Reconocidos por Great Place To Work Chile 2025 en el puesto #8 entre las mejores compañías para trabajar de más de 1.000 colaboradores.\n¡Experiencia de onboarding global!\nBonos y aguinaldos\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nDeclaración de igualdad de oportunidades en el empleo \nCreemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. 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