• Design, develop, and maintain databases supporting IVR and contact center systems • Support databases used by both runtime IVR services and analytics platforms • Design and maintain relational data models for IVR event, routing, and call data • Write, maintain, and optimize SQL for application logic, configuration changes, and investigations • Ensure database availability, integrity, performance, and scalability in production environments • Support storage and availability of IVR event logs, call lifecycle data, and routing outcomes for analytics and reporting • Monitor and troubleshoot production databases and support incident investigations • Collaborate with architects, application developers, DevOps, QA, and Analytics teams on platform changes and improvements

Salesforce Data 360 Architect You'll design and document scalable and robust solutions on-site with clients, translating business requirements into detailed technical tasks for offshore development teams. time type Full time job requisition id R1116453 Job Description: Key Responsibilities: - You'll lead the full implementation lifecycle of Salesforce Data Cloud, from data acquisition and integration to quality assurance, activation, and ongoing use. - You'll design and document scalable and robust solutions on-site with clients, translating business requirements into detailed technical tasks for offshore development teams. - You'll serve as the primary technical expert for offshore resources, providing hands-on support, troubleshooting complex issues, and ensuring high-quality deliverables. - You'll develop and execute sophisticated data-driven segmentation strategies to enable precise audience targeting and personalized customer journeys. - You'll design, document, and implement comprehensive data models, pipelines, and transformations to support data ingestion, integration, and enrichment within Salesforce Data Cloud. - You will act as a subject matter expert on Salesforce Data Cloud, Marketing Cloud Personalization (MCP), and the evolving Salesforce Personalization (Einstein Personalization) landscape. - You'll integrate data from diverse sources, including Salesforce Sales and Service Clouds, various databases, and third-party platforms, to create a unified customer profile and support advanced marketing and personalization efforts. - You will actively participate in knowledge-sharing sessions, contribute to practice development, and lead internal proof-of-concept (POC) projects and demo builds. - You'll guide and support junior-level resources within the offshore team, fostering their technical growth and ensuring adherence to best practices. - Stay current with the Salesforce release cycles and emerging industry trends, particularly in AI and cloud technologies, to provide innovative solutions. Qualifications: - A minimum of 5 years of overall experience in a technical role, with at least 2+ years of hands-on experience focused on Salesforce Data Cloud and/or custom database solutions. - Salesforce Data Cloud Consultant certification is mandatory. - Proven hands-on experience with other Salesforce core products, particularly Sales Cloud and Service Cloud. - Experience with Salesforce Marketing Cloud Personalization (MCP/Evergage) is highly desirable, along with a proven ability to transfer skills to the new Salesforce Personalization platform. - A deep understanding of marketing automation, data segmentation, personalized customer journeys, decisioning, and Next Best Action strategies. - Expertise in data modeling, ETL processes, data integration tools (e.g., MuleSoft, Informatica), and SQL proficiency. - Strong working knowledge of core Salesforce platform concepts such as Lightning Web Components (LWC), Flows, and Apex. - Experience with Data Actions and Flow integrations, along with API utilization for seamless data exchange. - Familiarity with broader cloud technologies (e.g., AWS, Azure, GCP) and data warehousing platforms (e.g., Snowflake) is a significant advantage. - Additional Salesforce certifications, particularly the Agentforce Specialist credential, would be a major advantage given the current AI boom. - A bachelor's degree in Computer Science, Information Technology, Marketing, or comparable work experience. This is a remote position with up to 25% travel. You will be reporting to the architect—decisioning director. You will not have managerial responsibilities. Additional information At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office. The annual salary range for this position is $113,000 - $182,850. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Additionally, this position is eligible for discretionary incentive compensation. Benefits available with this position include: - Medical, vision, and dental insurance, - Life insurance, - Short-term and long-term disability insurance, - 401k, - Flexible paid time off, - At least 15 paid holidays per year, - Paid sick and safe leave, and - Paid parental leave. Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com. #LI-JH2 #remote #LI-remote Location: Chicago Brand: Merkle Time Type: Full time Contract Type: Permanent Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to ApplicantAccommodations@dentsu.com by clicking on the link to let us  know the nature of your accommodation request and your contact information. We are here to support you.

Role Description The Senior Data Engineer will join the Americas IT software and architecture team. This business-centric IT team enables business-focused development of cutting-edge solutions and integrates global/regional IT initiatives into the business. In this senior role, we are seeking an experienced Data Engineer with deep hands-on expertise in Apache Spark, Microsoft Fabric, and cloud-scale data architecture. You will lead the design of robust data pipelines, optimize large-scale data architectures, and drive data-driven decision-making across the organization. The Senior Data Engineer is expected to work independently, collaborate with business and IT leaders, guide junior engineers, and architect solutions from the ground up based on complex business requirements. Key Responsibilities - Design and Develop Enterprise Data Pipelines: Architect, build, and maintain scalable, distributed data pipelines leveraging Apache Spark and Microsoft Fabric to process large structured and unstructured datasets. - Data Integration Leadership: Integrate data from diverse internal and external systems, ensuring reliability, lineage, and consistency across the enterprise. - Performance Optimization: Lead optimization of ETL/ELT workloads for large-scale analytics, improving cost efficiency, throughput, and reliability. - Data Quality & Governance: Define and implement standards for data quality, metadata management, cataloging, lineage, and governance compliance. - Cross-Functional Collaboration: Partner with data scientists, analysts, architects, and IT teams to define requirements, deliver insights, and integrate analytical models. - Documentation: Develop and maintain in-depth documentation for pipeline architectures, workflows, schemas, and operational processes. - Continuous Innovation: Evaluate emerging technologies and introduce modern data engineering practices such as lakehouse patterns, delta formats, automation, and real-time processing. - Troubleshooting & Reliability: Lead resolution of complex data pipeline failures, ensuring platform stability and enterprise-grade reliability. - Security & Compliance: Enforce enterprise data security, privacy, and access governance policies. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field. - 7+ years of professional experience in data engineering, data architecture, or large-scale data platform development. - Expertise in Apache Spark for large-scale batch and streaming workloads. - Deep hands-on experience with Microsoft Fabric, including Data Engineering, Data Factory, Data Pipelines, and Lakehouse implementations. - Advanced proficiency in SQL, Python, and/or Scala. - Hands-on expertise with Microsoft Azure (preferred), AWS, or GCP cloud data services. - Strong understanding of distributed systems, lakehouse patterns, and data modeling. - Proven experience designing and optimizing complex ETL/ELT workflows. - Strong communication skills, leadership capability, and technical mentorship experience. Preferred Qualifications - Professional certifications in Azure Data Engineering, Apache Spark, or Microsoft Fabric. - Experience with real-time streaming technologies such as Kafka or Azure Event Hubs. - Knowledge of DevOps practices including CI/CD, Infrastructure as Code, and automated testing. - Experience with visualization tools such as Power BI or Tableau. Benefits - Competitive compensation and an outstanding benefits package. - Access to health, dental, disability, and life insurance. - Paid holidays and vacation. - 401(k) matching and pension benefits. - Employee discount program. - Opportunities for educational and professional growth. Salary Pay commensurate with experience. Open to salary range $108,225 - $158,730.

Role Description As a Data Engineer, you will be a key part of the team, enabling and facilitating a data-driven culture for internal and external clients and using advanced data pipelines to generate insights on where to go. - Collaborate with a talented international team of engineers, architects, and cloud experts to design and implement data-driven solutions from concept to deployment. - Translate business needs, user stories, and technical requirements into scalable and efficient data warehouse solutions. - Communicate your technical decisions to team members and stakeholders using clear, accessible language. - Proactively suggest and implement improvements to existing processes, engage in technical discussions, and lead code reviews, providing constructive feedback and innovative solutions. - Be involved in the entire development lifecycle of data pipelines and warehouse architectures, applying critical thinking and leveraging advanced tools and methodologies to ensure impactful results. - Embrace a bold and resilient mindset, experimenting with new approaches and learning from challenges to achieve success more often. Qualifications - At least 2 years of experience in similar positions - Hands-on experience with Databricks - Solid understanding of cloud environment and their integration with Data Warehouse solutions - Strong Data Warehouse experience with diverse data models - Experience with Python - Experience with SQL - Fluent in English and strong communication skills Requirements - Resilience and the ability to navigate change and adapt - Experience working in a fast-paced start-up environment - Experience developing solutions using Generative AI, LLMs, or agentic architectures - Experience leveraging AI-powered SDLC workflows for both product and engineering tasks Benefits - Agile Company Culture and the Best Team - Global Projects & Opportunities - Social Events & Team Building - Continuous Development - Training & Development - Growth Opportunities - Flexible Working - Remote Friendly Culture - Great Equipment & Tools - Flexible Benefits - Extra Days Off - Health Insurance