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 (Oracle, SQL Server, DB2)

• Deep expertise in:

• Data modeling (logical & physical)

• SQL optimization and performance tuning

• High availability and disaster recovery architectures

• Experience with cloud data platforms (AWS / Azure)

• Familiarity with DevOps, CI/CD, and IaC practices

Business & Leadership Skills (CRITICAL):

• Strong ability to translate business needs into technical data solutions

• Proven experience engaging directly with business stakeholders

• Ability to lead cross-functional discussions and drive alignment

• Strong communication skills across:

• Business leaders

• Technical teams

• External partners

• Ability to influence design decisions and challenge requirements constructively