Data Architect
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Key skills for this role
Role Overview
The Data Architect will drive data and AI transformations for clients through complex data architecture programmes.
The role defines data blueprints and architects end-to-end platforms that are scalable, resilient, secure, and observable.
The position operates within PA Consulting's Digital and Data community and works across client sectors.
Key Skills for This Role
Full Job Posting
Role overview
The Data Architect will drive data and AI transformations for clients through complex data architecture programmes.
The role defines data blueprints and architects end-to-end platforms that are scalable, resilient, secure, and observable.
The position operates within PA Consulting's Digital and Data community and works across client sectors.
Core responsibilities
- Define data architectures covering ingestion, orchestration, governance, security, cost optimization, and observability.
- Translate business needs into scalable and secure data solutions.
- Lead teams and own end-to-end delivery of complex client assignments.
- Contribute to bids, identify opportunities, and support business growth.
- Develop thought leadership, champion best practices, and mentor newer team members.
- Set direction for teams and improve technical capability and client outcomes.
Technology capabilities
- Relevant capabilities include multi-cloud, data warehousing, data lakes, data integration, programming, and scripting.
- The role may involve machine learning and AI frameworks, infrastructure and DevOps tooling, BI and analytics platforms, and data governance tools.
- PA works with cloud and data vendors including AWS, Azure, Google Cloud Platform, Databricks, and Snowflake.
Essential requirements
- Hands-on data experience with experience leading engineering teams to deliver applications and services.
- Practical understanding of data architecture and delivery methodologies.
- Ability to assess the impact of AI on data solutions and delivery approaches.
- Commitment to continuous improvement and professional development.
- Strong problem-solving, analytical thinking, and stakeholder collaboration skills.
- Certifications in relevant methodologies or cloud technologies are advantageous.
Working environment
- The role uses hybrid working, with time in the office or on client site a minimum of two days per week.
- Assignments may require up to five days per week on a client site depending on the role and client requirements.
- The work follows agile practices and involves cross-functional collaboration with clients and engineering teams.
Assessment process
The assessment may include a recruiter call, competency or technical interviews, and a final discussion with a PA leader.
The final stage includes a mini case study and discussion of client-centricity.
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