Senior Engineer, Data
$87.21k - $137.2kPublicis Groupe Holdings B.V
Company Description Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals. Overview About Publicis Media: Publicis Media is one of Publicis Groupe's four solution hubs, aligning all of Publicis Groupe's media agencies and operations. Publicis Groupe (Euronext Paris Exchange: FR0000130577; CAC 40 index), is the world's third largest communications group. The Data, Technology and Innovation Global Practice was created to deliver best-in-class programmatic solutions as well as to consolidate Publicis Media's data and technology to transform our business from a service business to a platform business.
We are seeking a Sr. Data Operations Engineer to manage and enhance our data infrastructure and analytics platforms, mentor offshore support teams, and drive automation and optimization across cloud and database systems. This role requires deep technical expertise in managing relational and NoSQL databases, cloud platforms (AWS, Azure), and analytics tools such as Databricks, Tableau and Alteryx. Experience with Python for automation and data analysis is a plus. A strong background in SQL and database performance tuning is essential. You will work closely with engineering, analytics, and infrastructure teams to ensure high-performance, reliable data systems and support the evolving analytical needs of the business. You will work closely with engineering, analytics, and infrastructure teams to ensure high-performance, reliable data systems and support the evolving analytical needs of the business. Responsibilities
We are seeking a Sr. Data Operations Engineer to manage and enhance our data infrastructure and analytics platforms, mentor offshore support teams, and drive automation and optimization across cloud and database systems. This role requires deep technical expertise in managing relational and NoSQL databases, cloud platforms (AWS, Azure), and analytics tools such as Databricks, Tableau and Alteryx. Experience with Python for automation and data analysis is a plus. A strong background in SQL and database performance tuning is essential. You will work closely with engineering, analytics, and infrastructure teams to ensure high-performance, reliable data systems and support the evolving analytical needs of the business. You will work closely with engineering, analytics, and infrastructure teams to ensure high-performance, reliable data systems and support the evolving analytical needs of the business. Responsibilities
- Provide hands-on SQL expertise to guide the team in query optimization, debugging, and solving.
- Support infrastructure solving and performance monitoring across cloud environments (AWS).
- Collaborate with Engineering, DevOps, and Cloud teams to improve monitoring, alerting, and debugging processes.
- Enhance efficiency in release and workflow management, ensuring Tier II teams are informed about resolutions.
- Serve as a connection between the development and support teams to guarantee product stability and integrate feedback from support.
- Oversee incident triage, prioritization, and resolution in alignment with SLAs and KPIs.
- Identify and automate repetitive or inefficient processes in areas such as user provisioning, client migrations, and backend workflows.
- Improve and support knowledge management systems, including SOPs, documentation, and standard methodologies.
- 7-10+ years of experience in data engineering, platform support, or database administration.
- Strong proficiency in SQL for complex querying, performance tuning, and mentoring team members.
- Experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, MongoDB).
- Hands-on experience in Databricks operational support, including job monitoring, solving failed pipelines, managing cluster performance, user access provisioning.
- Familiarity with ITSM tools (e.g., Jira Service Management) and ITIL-based processes for Incident, Change, Problem, and Request Management.
- Solid understanding of Cloud fundamentals ex: AWS (compute, storage, networking), IAM, SSO, MFA, and container orchestration (Kubernetes, ECS, EKS).
- Experience with monitoring and logging tools such as CloudWatch, Prometheus, and Grafana.
- Knowledge of security and compliance practices, including IAM, auditing, and policy enforcement.
- Python experience for scripting, automation, or analytical tasks is a plus.
- Analytical individual dedicated to enhancing processes and scalability.
- Strong communication and collaboration skills across IT, business, and offshore teams.
- Proactive problem-solver with a bias toward root cause resolution.
- Demonstrated ability to lead change and improve support workflows.
Vacancy posted 4 days ago
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