Database Administrator (DBA) / Data Architect

The Database Administrator (DBA) / Data Architect is responsible for end-to-end data and database lifecycle ownership, spanning data architecture, application development support (Build), and operational support (Run). A critical success factor for this role is the ability to act as a business-facing technical leader, bridging: Business stakeholders (process, data needs, outcomes) Application teams (design, build, integration) Enterprise Architecture (standards, governance, strategy) Operating within Stellantis product-oriented DevOps model, the DBA ensures that data is designed, managed, and operated as a strategic asset driving performance, scalability, and business value.

Key Responsibilities

Business-Facing Data Leadership Act as the primary interface between business stakeholders and technical teams for all data-related topics Translate business requirements into scalable data models and database designs Provide consultative guidance to business and product owners on: Data structure and data flow design Performance and scalability implications Data governance and compliance requirements Lead discussions to align business processes, data architecture, and application design Drive data-driven decision support, ensuring solutions meet business outcomes and KPIs Bridge gaps across: Business Application (requirements clarity) Application Architecture (design compliance) Architecture Operations (run feasibility and sustainability) Data Architecture & Design Define and maintain logical and physical data models aligned with enterprise and business requirements Design scalable, high-performance data architectures across cloud and on-prem platforms Establish and enforce: Data standards and naming conventions Data lifecycle management (retention, archival, purging) Define data flows, integrations, and dependencies across applications Align all designs with Stellantis Enterprise Architecture and governance frameworks Support data platform modernization and cloud transformation initiatives Build Design, build, and deploy database objects (tables, views, indexes, stored procedures, triggers) Partner with application teams on: Data modeling and schema design SQL optimization and performance tuning Develop and deploy database code aligned to SDLC and governance standards Participate in design reviews and architecture governance processes Support data migration, environment setup, and release deployments Run Provide 24x7 operational database support including monitoring and incident management Own and resolve critical database incidents, ensuring minimal business impact Execute patching, upgrades, backup, and recovery validation activities Continuously optimize performance, availability, and reliability Maintain runbooks, automation scripts, and operational procedures DevOps, Automation & Platform Integration Enable integration of database changes into CI/CD pipelines Implement Infrastructure as Code (IaC) for database provisioning Support observability, monitoring, and automation frameworks Align with cloud platform standards (AWS / Azure) Governance, Security & Data Management Ensure compliance with data governance, security, and regulatory policies Define and enforce: Backup/recovery strategies Access controls and data security Support audit readiness, vulnerability remediation, and risk management Stakeholder & Product Team Collaboration Act as DBA and Data Architecture SME across product teams Collaborate with: Business stakeholders and product owners Application development teams Enterprise Architecture Infrastructure and cloud teams Strategic partners Support incident, problem, and change management processes Basic Qualifications: Experience: Bachelor's degree in Information Systems, Computer Science, or related field.

Minimum 5 years in DBA and/or Data Architecture roles Experience supporting both Build and Run models Experience in large, complex global organizations Technical Expertise: Enterprise DB platforms (DB2-Required, SQL Server, Oracle, PostgreSQL) Deep expertise in: Data modeling (logical & physical) SQL optimization and performance tuning High availability and disaster recovery architectures Working knowledge of Unix (Linux, AIX), Unix tools and editors; Storage concepts (File Systems, Volume Groups) Working experience with Unix Scripting (Korn Shell, Bash) Understanding of main concepts related to connection and transaction management of Java applications (Data sources, Type 2 and Type 4 Drivers) Experience with cloud data platforms (AWS / Azure) Familiarity with DevOps, CI/CD, and IaC practices Familiarity with Data Warehouses and Data Lakes