• Define and evangelise target architectures that bridge our transactional, analytical, and AI systems, ensuring our data remains a competitive advantage. • Be a leader for our end-to-end data lifecycle, from OLTP schema design and migrations to OLAP governance, platform and analytics. • Partner with Technical Leads to provide hands-on guidance supporting feature delivery, tech debt paydown, and architecture improvements. (Hands-on for this role means staying close to the details but not necessarily coding) • Collaborate with Product Directors to understand product vision and translate this into deliverables, aligning commercial and engineering goals. • Lead our shift to an AI-First way of working, architecting the data foundations to enable AI in our products and championing the latest approaches to help drive productivity gains • Architect the future infrastructure required for LLM orchestration, Retrieval-Augmented Generation (RAG), and real-time model inference at scale • Mentor and coach Technical Leads/Senior Engineers on architectural and engineering excellence, continually raising our bar and supporting career growth • Act as a role model for technical leadership — work with pace, be pragmatic, and stay laser focused on outcomes not output • Head up architectural reviews for your domain and ensure all designs meet Arbor’s quality, reliability, security and compliance standards. • Collaborate with Staff Engineers and Principal Engineers to shape Arbor’s broader technology strategy, working outside your domain as needed • Partner with Engineering Management to help grow teams, identify and resolve systemic bottlenecks, ensuring the success of our strategic goals

Role Description This role will be a leadership role and overseeing our data engineering practice reporting to the VP of Data Engineering. This position is a mixture of hands-on architecting and developing data engineering components and providing support in career management, business development, and maturing data engineering in the region. Responsibilities - Provide leadership and guidance to senior data engineers and managers. - Lead internal team meetings and gain a broad understanding of all client work. - Mentor senior resources on seeing the big picture across clients and not just the task given to them. - Help senior resources see beyond client work such as scoping and allocations. - Deliver quality work on defined tasks with little oversight and direction. - Ensure all deliverables are of high quality throughout the project by adhering to coding standards and best practices and participating in code reviews. - Serve as an architect and provide guidance during the software development life cycle to solve business issues through the process of identifying and analyzing detailed requirements that translate into data integration and database system designs. - Solve business issues through the process of identifying and analyzing detailed requirements that translate business requirements into technical system designs. - Use information gained through prior experience, knowledge sharing with other Technology Associates, education and training to resolve issues and remove project barriers. - Provide status updates to team members on a regular basis and clearly escalate issues and risks to project management as needed. - Play a more primary role in BD pitches, RFP responses, and estimating data engineering components of projects. Client Exposure - Serves as client team lead on medium media account managing $20+ million in total media spend. - Conceives, negotiates and presents cross platform or large scale media proposals to clients. Business Development - Responsible for upselling services. - Key participant in business development for media pitches. Team Leadership - Leads multiple direct reports. - Lead and supervise client team, including hiring, training, staffing, coaching and evaluating performance. Agency Leadership - Attends and represents clients at industry events. - Present in team meetings and represents the Data Engineering Teams across the organization. - Helps with POV writing, responsible for client-specific POVs. Qualifications - BS in Computer Science, mathematics, or equivalent education/professional experience is required. - 10+ years within the data industry and 7+ years in leadership roles. - Experience creating project estimations, budgets, and working with various stakeholders to understand and drive business requirements. - Experience and ability to be client-facing and supporting BD pitches and presentations. - Experience managing other engineers and providing career management guidance, reviews, etc. - Experience in various data technologies with strong experience in ETL, data warehousing, and Big Data space. - Experience architecting solutions in the cloud. Must have deep knowledge in data technologies in GCP with Azure, AWS, or Databricks also desired. - Experience building, testing, and deploying data models using dbt desired. - Experience with ML and/or AI services (i.e. Spark, AWS ML, Tensorflow, etc.) a plus. - Experience with data modeling, warehouse design, and fact/dimension concepts. - Experience architecting and building data marts, warehouses, etc. - Experience working with different query languages (i.e. PL-SQL, T-SQL). - Understanding of development and project methodologies. - Able to work in a fast-paced, technical environment. - Good verbal and written communication skills. Benefits - Paid Family Care for parents and caregivers for 12 weeks or more. - Monetary assistance and support for Adoption, Surrogacy and Fertility. - Monetary assistance and support for pet adoption. - Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance. - Tuition Assistance. - Paid time off that includes Flexible Time off, Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more. - Matching Gifts programs. - Flexible working arrangements. - ‘Work Your World’ Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility). - Business Resource Groups that support multiple affinities and alliances.

Role Description Sr. Data Engineering Analyst will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Sr. Data Engineering Analyst is gaining experience by building data pipeline and standardized processes. They enjoy optimizing data systems and building them from the ground up. The Sr. Associate Data Engineer will support data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Responsibilities - Deliver quality work on defined tasks with infrequent oversight and on undefined tasks with frequent oversight from senior level data engineer. - Implement and maintain relational and columnar databases like BigQuery, Redshift, and Azure. - Implementation of tables, indexes, stored procedures, functions, or ad-hoc query support. - Implementation of other data related activities such as standardized automated ETL processes, reports, dashboards, models, etc. - Provide status updates to team members on a regular basis and clearly escalate issues and risks to project management as needed. - Serve as technical resource during software development life cycle to solve business issues through the process of identifying and analyzing detailed requirements that translate into system designs. - Ability to estimate own work when provided with sufficient task definition. - Focus daily on best practices to ensure a quality deliverable. - Troubleshoot, diagnose and quickly respond to database and application issues minimizing disruption to services and escalate to third parties vendors for support as needed. - Proactively monitor and report on database performance and capacity and provide trend analysis for all environments. Key Differentiators - Understands Razorfish data capabilities and how data fits into a client's overall strategy. - Understands the breadth of data services and crafts. - Able to manage data team responsibilities within cross-capability projects. - Understanding of SQL. - Understanding of Python coding best practices. - Architect Data Structures. - Understand Cloud Platforms (AWS, GCP, Azure). - Mentor Associate Data Engineers. Qualifications - Experienced database administrator/developer role, preferably in a professional services environment. - Experience working with or general knowledge of RDBMS (DB2, Oracle, MySQL, SQL Server, etc). - Experience working with or general knowledge of Big Data or NoSQL database system (DynamoDB, MongoDB, Redshift, BigQuery, Azure, etc) a plus. - Understanding of cloud infrastructure services like Amazon Web Services and Google Cloud Platform a plus. - Experience working with data modeling and normalization concepts. - Experience or Knowledge of different query languages (i.e. PL-SQL, T-SQL). - Knowledge and experience with ETL toolsets (i.e. SSIS, Talend, etc.). - Knowledge and experience writing ETL processes. - Understanding of application programming and interactions with database technologies. - Ability to estimate level of effort for tasks. - Ability to learn new languages, tools, and techniques as needed to meet project requirements. - Ability to work collaboratively in teams with other individuals. Able to work in a fast-paced, technical environment. - Good verbal and written communication skills. - Attention to detail and quality. - Excellent problem solving skills. Benefits - Paid Family Care for parents and caregivers for 12 weeks or more. - Monetary assistance and support for Adoption, Surrogacy and Fertility. - Monetary assistance and support for pet adoption. - Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance. - Tuition Assistance. - Paid time off that includes Flexible Time off, Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more. - Matching Gifts programs. - Flexible working arrangements. - ‘Work Your World’ Program encouraging employees to work from anywhere. - Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility). - Business Resource Groups that support multiple affinities and alliances.

Role Description We are seeking Freelance Data Engineer to support the implementation, orchestration, and optimization of customer data and analytics solutions. This role sits at the intersection of Data Engineering and Analytics Implementation, requiring a strong understanding of data collection, customer data platforms, analytics tools, and data movement across systems. The ideal candidate will have hands-on experience with Adobe Experience Cloud products, strong technical skills, and the ability to work independently while collaborating with cross-functional teams to deliver reliable data solutions and actionable insights. - Implement, configure, and support Adobe Experience Cloud solutions, including Customer Journey Analytics (CJA), Adobe Launch, Adobe Journey Optimizer, and Adobe Analytics. - Design, maintain, and troubleshoot data collection frameworks and tracking implementations. - Support data orchestration, transformation, and movement across multiple systems and platforms. - Work with Customer Data Platforms (CDPs) to ensure accurate data ingestion, activation, and reporting. - Develop and maintain data pipelines and data structures that support analytics and customer experience initiatives. - Collaborate with engineering, analytics, and business teams to define tracking requirements and data strategies. - Validate data quality, troubleshoot implementation issues, and ensure reporting accuracy. - Document implementation processes, data flows, and technical requirements. - Manage multiple priorities while working independently in a fast-paced environment. Qualifications - Hands-on experience with Adobe Experience Cloud tools, specifically: - Adobe Customer Journey Analytics (CJA) - Adobe Launch - Adobe Journey Optimizer - Adobe Analytics - Strong JavaScript skills. - Experience working with databases and data management solutions. - Experience with Customer Data Platforms (CDPs). - Strong understanding of data engineering concepts, including data structures, data modeling, and data pipelines. - Experience with data orchestration and data movement across platforms. - Experience implementing website data collection and tagging solutions. - Hybrid background spanning both engineering and analytics implementations. - Strong organizational, project management, and problem-solving skills. - Ability to work independently with minimal supervision. - Excellent communication skills and professional fluency in English. Requirements - This is a freelance contract opportunity with the possibility of extension based on project needs and performance. - Contract Start Date: June 22, 2026 - Contract End Date: July 31, 2026 - Total Hours: 232 - Engagement Type: 1099 or W2 (depending on final worker classification) - Equipment: Candidates must use their own computer and equipment. Benefits - The salary range for this position is $50 — $60 CAD. - Exactly where a prospective employee will be paid within this range will depend on various factors including experience, qualifications, and market conditions.