Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in integration and platform architecture focus on designing and implementing seamless integration solutions and robust platform architectures for clients. They enable efficient data flow and optimise technology infrastructure for enhanced business performance.

Those in solution architecture at PwC will design and implement innovative technology solutions to meet clients' business needs. You will leverage your experience in analysing requirements, developing technical designs to enable the successful delivery of solutions.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Craft and convey clear, impactful and engaging messages that tell a holistic story.Apply systems thinking to identify underlying problems and/or opportunities.Validate outcomes with clients, share alternative perspectives, and act on client feedback.Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.Deepen and evolve your expertise with a focus on staying relevant.Initiate open and honest coaching conversations at all levels.Make difficult decisions and take action to resolve issues hindering team effectiveness.Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Senior Data Architect 

Job Description: 

Senior Data Modeler with experience in leading and delivering data modeling solutions involving complex data landscapes and legacy modernization projects. The ideal candidate will have extensive experience with industry-standard data modeling methodologies, cloud data lake platforms, and NoSQL data modeling. This role requires a strong leader capable of guiding data teams and driving the design and implementation of scalable data architectures. 

Key Responsibilities: 

Design and implement scalable and efficient data models for complex systems, ensuring alignment with business and technical requirements. 

Apply industry-standard data modeling methodologies to create conceptual, logical, and physical data models for structured, semi-structured, and unstructured data. 

Develop and optimize data models for cloud data lake platforms (e.g., AWS, Azure, Google Cloud). 

Create and manage NoSQL data models tailored to non-relational databases (e.g., MongoDB, Cassandra, DynamoDB). 

Lead cross-functional data teams, overseeing the delivery of large-scale, multi-technology projects. 

Collaborate with stakeholders to define data architecture strategies and ensure models align with enterprise data governance standards. 

Integrate and manage data across diverse systems, ensuring consistency, integrity, and accuracy. 

Evaluate emerging technologies and tools to enhance data modeling practices and infrastructure. 

Provide technical guidance and mentorship to junior team members. 

Document data modeling processes and create reusable frameworks for future projects. 

Qualifications: 

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. 

13+ years of experience in data modeling, including conceptual, logical, and physical data design. 

5 – 8 years of experience in cloud data lake platforms such as AWS Lake Formation, Delta Lake, Snowflake or Google Big Query. 

Proven experience with NoSQL databases and data modeling techniques for non-relational data. 

Experience with data warehousing concepts, ETL/ELT processes, and big data frameworks (e.g., Hadoop, Spark). 

Hands-on experience delivering complex, multi-module projects in diverse technology ecosystems. 

Strong understanding of data governance, data security, and compliance best practices. 

Proficiency with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner). 

Excellent leadership and communication skills, with a proven ability to manage teams and collaborate with stakeholders. 

Preferred Skills: 

Experience with modern data architectures, such as data fabric or data mesh. 

Knowledge of graph databases and modeling for technologies like Neo4j. 

Proficiency with programming languages like Python, Scala, or Java. 

Understanding of CI/CD pipelines and DevOps practices in data engineering. 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Architectural Engineering, Brainstorm Facilitation, Business Impact Analysis (BIA), Business Process Modeling, Business Requirements Analysis, Business Systems, Business Value Analysis, Cloud Strategy, Coaching and Feedback, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture, Enterprise Integration, Evidence-Based Practice (EBP), Feasibility Studies {+ 46 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date