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