{"id":1343400,"url":"https://alion.io/job/publicisgroupe-manager-data-architect","title":"Manager Data Architect","company":{"id":46462,"name":"Publicis Groupe","domain":"publicisgroupe.com","url":"https://alion.io/company/publicisgroupe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canberra, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":87000,"max_usd":193000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":432},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-27T16:02:04Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-10-02T01:53:13Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Company Description\nPublicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.\nOverview\nManager Data Architect\nAs a Manager Data Engineering (Data Architect), you will be responsible for designing and implementing scalable, high-performance data solutions that enable advanced analytics, machine learning, and business intelligence. You will work closely with cross-functional teams to define data architecture, optimize data pipelines, and ensure data quality and governance.\nYour Impact\nEvaluate requirements and current state to design scalable architectures for enterprise data platforms, ensuring high performance, reliability, and cost effectiveness.\nValidate target-state designs with client technical SMEs and secure executive buy-in, translating architecture into roadmaps and business value. \nLead efforts to improve data quality, data lineage, and master data management and establish best-practices for data governance, security, and compliance.\nCollaborate with data scientists, business analysts, and engineering teams to deliver data-driven solutions.\nEnsure seamless integration of data across cloud services (AWS, GCP, Azure), SaaS, and on-premise applications, with a variety of structured/unstructured formats.\nDevelop data models and modelling standards across conceptual, logical, and physical layers, with metadata and data dictionaries to ensure consistency and accuracy.\nProvide technical leadership and mentorship to client and delivery teams, ensuring best practices and innovation.\nEffectively leverage AI to augment production of quality deliverables.\nStay updated on emerging trends in AI, and cloud-based data solutions to drive continuous improvement and commercial advantage for our clients.\nSkills & Experience\n12+ years of experience in data engineering, with a focus on data technologies.\nStrong expertise in data architecture, data modeling, and ETL/ELT processes.\nProficiency in cloud-based data solutions, including AWS, GCP, or Azure.\nExperience with real-time data processing using Kafka, Flink, or similar technologies.\nStrong understanding of data governance, security, and compliance frameworks.\nKnowledge of SQL, NoSQL databases, and data warehousing solutions.\nExperience with containerization and orchestration tools such as Docker and Kubernetes.\nExcellent problem-solving and analytical skills with a strong focus on performance optimization.\nSet Yourself Apart With\nExperience with AI/ML data pipelines and model deployment.\nKnowledge of graph databases and data virtualization.\nStrong understanding of data mesh and modern data architecture principles.\nAdditional Information\nAn inclusive workplace that promotes diversity and collaboration.\nAccess to ongoing learning and development opportunities.\nCompetitive compensation and benefits package.\nFlexibility to support work-life balance.\nGenerous paid leave and holidays.\nWellness program and employee assistance.\nAs part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. 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