• Definir la estrategia de arquitectura y gobierno de datos de la organización. • Diseñar arquitecturas de datos empresariales y liderar su implementación. • Establecer estándares, lineamientos y mejores prácticas de arquitectura de datos. • Evaluar e incorporar nuevas tecnologías de datos. • Garantizar seguridad, calidad, capacidad, rendimiento y cumplimiento normativo. • Liderar iniciativas de Big Data, Data Warehousing, integración y calidad de datos. • Colaborar con líderes técnicos en la estrategia tecnológica corporativa. • Realizar análisis de impacto y definir evolución de la arquitectura de datos. • Impulsar innovación en datos, analítica, IA/ML y otras capacidades emergentes. • Liderar equipos y participar en reportes e iniciativas estratégicas.

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. An RTCDP Solution Architect helps clients get value out of their investment into Customer Data Platforms like Adobe Real-Time CDP (RTCDP) by strategizing a scalable architecture with a strong focus on data governance and security. You will work with a multidisciplinary team of Consultants, Data Engineers, Data Scientists, and Digital Marketers. Information Security Responsibilities - Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols - Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets - Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) - Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information Role and Responsibilities - Serve as a platform expert in Adobe Experience Platform Real-Time CDP - Provide deep domain expertise in client business, technology stack, and data infrastructure, with a broad knowledge base in digital marketing - Assess and audit the current state of client’s marketing technology stack - Strategize, architect, and document a scalable RTCDP implementation, tailored to client business needs - Translate business requirements into technical specifications - Lead technical delivery; provide guidance to Data Engineers - Support the implementation of proper data governance Preferred Qualifications - 5+ years of experience architecting and building data pipelines - 3+ years of experience working in an agency environment; strong consulting, client-facing skills - Hands-on experience configuring Adobe Experience Platform RTCDP, including creating schemas, ingesting data from a variety of sources, configuring identity resolution, and connecting destinations for activation - Experience with Adobe Tags (formerly called “Launch”) and AEP WebSDK implementation - Experience working with APIs - Strong understanding of customer data platforms and the modern data infrastructure - Experience working with cloud technologies such as AWS, Google Cloud, Azure, etc. - Experience working with data warehouse solutions such as Amazon Redshift, Google BigQuery, Snowflake, etc. - Experience with Adobe Target a plus - Experience with data visualization tools such as Tableau, PowerBI, etc. a plus - Experience with marketing automation tools a plus - Degree in Computer Science, Data Science, Analytics, or related field or equivalent work experience preferred $118,000 - $159,000 a year Individual pay is determined by many factors, including experience, relevant education or training, and organizational needs. The mid-range to maximum of the salary range is generally reserved for individuals who are highly experienced in the role. We invite you to stay connected with us by subscribing to our monthly job openings alert here. Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. #BI-Remote #LI-Remote

• Design and implement modern data platforms using Databricks and Microsoft Fabric • Build and maintain scalable data pipelines and ingestion frameworks • Develop and optimize Spark and PySpark workloads within Databricks • Implement lakehouse and data warehouse architectures • Design and manage data models supporting analytics and reporting • Collaborate with data scientists and analytics teams to support AI and advanced analytics initiatives • Implement data quality, governance, and security best practices • Provide technical leadership and mentorship to data engineering team members • Optimize performance, reliability, and scalability of data platforms

• Collaborate closely with the product team to document business needs and transform them into clear, actionable technical requirements • Build and maintain scalable ELT pipelines for reliable data ingestion, transformation, and delivery • Design, optimize, and manage data models in Snowflake for performance, scalability, and clarity • Create and maintain DAGs to define pipeline tasks, dependencies, and schedules for automated workflows • Collaborate with DevOps to configure and manage AWS infrastructure supporting data storage, pipelines, and transformations • Monitor pipelines to resolve failures and improve stability and data quality • Document pipelines, DAGs, and models to support onboarding and knowledge sharing