• Arquitectura y Diseño de Soluciones Liferay: Definir la arquitectura técnica de las soluciones, asegurando la escalabilidad, mantenibilidad y alineación con los estándares del cliente. • Liderazgo Técnico: Liderar técnicamente los desarrollos, proporcionando soporte y guía a los equipos de desarrollo durante todas las fases del proyecto. • Análisis y Estimaciones: Elaborar estimaciones de esfuerzo para tareas de diseño, desarrollo, mantenimiento evolutivo, correctivo y resolución de incidencias. • Diseño Funcional y Técnico: Participar en la definición de requisitos, análisis funcional y elaboración de diseños técnicos que den respuesta a las necesidades del negocio. • Modelado de Datos: Definir y construir modelos de datos alineados con las especificaciones funcionales y los requisitos técnicos del proyecto. • Planificación y Seguimiento: Planificar tareas, realizar el seguimiento de avances de los equipos y reportar el estado y previsiones de ejecución (ETC). • Calidad y Validación: Definir casos de prueba o dar soporte al equipo de QA en su elaboración, así como validar las implementaciones realizadas por los equipos de desarrollo. • Revisión Técnica: Revisar la documentación técnica generada por los desarrolladores, garantizando el cumplimiento de los estándares establecidos. • Gestión del Conocimiento: Consolidar, compartir y aplicar el conocimiento técnico y metodológico adquirido en los distintos proyectos. • Interlocución con Negocio: Colaborar con stakeholders y áreas de negocio para identificar necesidades, proponer soluciones y garantizar el éxito de los proyectos.

Role Description LRS Consulting Services is seeking an experienced Domain Managing Architect – Cloud for our client. This is an exciting opportunity for a strategic technology leader to drive enterprise cloud transformation, modernization, and AI governance initiatives across a complex technology landscape. The Domain Managing Architect – Cloud will provide enterprise architecture leadership and strategic direction for cloud technologies, modernization initiatives, and emerging AI capabilities. This individual will partner with business and IT leadership to define and execute enterprise cloud strategy, establish governance standards, and guide large-scale transformation programs. The successful candidate will be a thought leader with deep expertise in: - Azure, AWS, hybrid cloud architectures - Enterprise architecture frameworks - Technology modernization - AI governance - Cloud-native architecture - Enterprise technology roadmaps Qualifications - 15+ years of experience in IT leadership, enterprise architecture, or solution architecture - Leading enterprise cloud transformation initiatives and modernization programs - Developing and executing cloud migration roadmaps across Azure and AWS environments - Enterprise Architecture frameworks such as TOGAF or similar methodologies - Designing cloud-native, microservices-based, event-driven, and distributed architectures - Enterprise architecture governance, standards, patterns, and technology roadmaps - Working across infrastructure, networking, security, data, integration, and application domains - Leading complex technology decisions and architectural tradeoff discussions - Executive-level communication, presentations, and stakeholder engagement - Developing architecture diagrams, models, and documentation using Visio, draw.io, or similar tools - Risk management, technical debt remediation, and governance processes - Leading large-scale modernization efforts involving legacy systems and cloud adoption - Collaborating with business executives, architecture teams, engineering organizations, and technology leaders - Establishing scalable, secure, and resilient enterprise technology solutions Requirements - 8+ years of experience in architecture leadership roles with responsibility for enterprise-wide technology direction - Cloud strategy development and implementation - Multi-cloud and hybrid-cloud architecture design and governance - Leading cloud migration programs including rehost, replatform, refactor, and rebuild strategies - Architecture review boards, governance processes, and solution assessments - FinOps practices and cloud cost optimization strategies - Managing enterprise architecture standards, reference architectures, and technology policies - Driving consensus across multiple organizational and technology teams Key Responsibilities - Define, lead, and execute enterprise cloud strategy across Azure and AWS platforms - Develop multi-cloud and hybrid cloud strategies, including workload placement, portability, and legacy system retirement - Partner with infrastructure and platform teams to implement scalable, resilient, and cost-optimized cloud environments - Lead cloud migration and modernization programs across enterprise applications and platforms - Drive adoption of cloud-native architectures and AI-ready technology platforms - Establish AI governance frameworks addressing model risk management, explainability, fairness, compliance, and responsible AI practices - Lead and approve Enterprise Architecture Assessments for cloud, modernization, and AI-enabled initiatives - Ensure alignment with enterprise standards related to security, privacy, compliance, and data governance - Drive landing zone design, cloud foundations, migration factory models, and cloud operational excellence - Provide end-to-end architecture leadership for large-scale transformation initiatives - Guide architects, engineering teams, and technology leaders through complex technical decisions - Identify, assess, and mitigate architecture risks and technical debt - Develop enterprise technology roadmaps aligned with business strategy and organizational objectives - Collaborate with executive leadership to recommend future-state technology solutions and investments - Evaluate emerging technologies and industry trends to support innovation and business value Strong Candidates Will Have - Microsoft Certified: Azure Solutions Architect Expert - AWS Certified Solutions Architect – Professional or Associate - TOGAF Certification - FinOps Practitioner Certification - Experience implementing AI governance frameworks within regulated environments - Experience with cloud landing zones and cloud operating models - Exposure to Agentic AI, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector database technologies - Experience establishing enterprise architecture governance programs - Experience supporting executive architecture review boards - Insurance industry experience Preferred Qualifications - Experience within the insurance industry or other highly regulated industries - Experience leading enterprise modernization initiatives across complex technology environments - Hands-on knowledge of AI governance, compliance, and responsible AI frameworks - Experience evaluating and implementing emerging AI technologies and enterprise cloud services - Strong understanding of enterprise security, privacy, risk, and compliance requirements - Proven success driving enterprise-wide cloud adoption and digital transformation initiatives Candidate Requirements - Must be able to effectively communicate in English (written and verbal) - Must have permanent authorization to work in the USA for any employer Benefits The base range for this contract position is $40.00 - $70.00 per hour, depending on experience; pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. In some cases, LRS Consulting uses generative artificial intelligence (“AI”) in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions. LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status, or protected veteran status.

Role Description We are seeking an Enterprise Data Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity. Key Responsibilities - Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers. - Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization. - Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi. - Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads. - Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub. - Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns. - Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs. - Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers. - Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams. - Drive cost optimization and capacity planning across the data platform estate. - Design disaster recovery, multi-region, and high-availability strategies for critical data assets. - Mentor data engineers and architects on platform standards and emerging best practices. - Produce architecture artifacts including context diagrams, decision records, and reference patterns. - Stay current with data platform research, vendor offerings, and open-source ecosystem developments. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. - Eight or more years of experience in data engineering, with significant time in architecture roles. - Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift. - Strong understanding of lakehouse architectures, modern table formats, and streaming systems. - Hands-on experience with Spark, Flink, or Kafka at production scale. - Strong data modeling expertise across dimensional, normalized, and data-vault patterns. - Experience implementing governance, lineage, and catalog capabilities. - Solid grasp of cloud platforms, networking, identity, and cost optimization. - Excellent communication, facilitation, and stakeholder management skills. - Track record of leading large data platform initiatives across teams. Preferred Qualifications - Experience with data mesh or data product architectures. - Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML. - Exposure to regulated industries with strict data residency or audit requirements. - Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP). - Public talks or writing on data architecture. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Develop a strong understanding of, and proficiency with, the Neara software platform in order to translate its functionality and value to customers. • Work directly and closely with customers, including meaningful time on-site with customers to: • Drive and embed the use of the Neara platform by customers, including enabling the customer’s ability to proficiently use the platform to ensure customer ease of adoption and use throughout their organisation. • Ensure that Neara solutions adopted by customers are being delivered as contractually scoped and are delivering on identified business outcomes. • Develop a deep understanding of customer strategic imperatives and business goals in order to provide clear guidance on where Neara solutions can enable or enhance. • Serve as a trusted commercial and technical advisor to customers, ensuring Neara solutions are fully embedded within their business, including with respect to workflow or change management requirements that sit outside the core Neara scope. • Collaborate with customers to define and deliver business cases and related ROI metrics, in support of the value delivered by Neara solutions, including established cadences around internal reporting and value delivery reviews. • Identify opportunities for customers to expand their use and adoption of the Neara platform into other solutions through the identification of additional business drivers or pain points that Neara can help solve. • Identify and actively engage a broad stakeholder audience within customers to ensure close and trusted relationships, built on credibility, authenticity and transparency. • Collaborate closely with Neara Sales and Deployment teams to drive customer happiness, platform adoption, growth, and consistent and measurable adoption and value demonstration frameworks. • Design and deliver focused training sessions and workshops aligned with customer goals and workflows • Identify emerging client needs and strategic opportunities, and work closely with Neara Sales and Deployment teams to inform customer account strategies and growth opportunities.