Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

& Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. * Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about usAt PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

& Summary:

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

Key Responsibilities

•     PMI Discovery & Assessment: Rapidly inventory and assess the acquired company’s product, data, and process stack (applications, data models, APIs, integrations, workflows, SLAs), documenting current-state capabilities and constraints.

•     Stack Mapping & Alignment: Create detailed mappings from acquired systems to Cvent platforms and processes, including data entities/attributes, interface touchpoints, roles/permissions, and operational handoffs; identify overlaps, gaps, and deprecation candidates.

•     Integration Options & Recommendations: Propose integration patterns (e.g., consolidate, federate, phase-and-bridge), articulate trade-offs, and recommend best-path actions aligned to business outcomes, risk, cost, and timeline.

•     Technical Decomposition: Translate target-state outcomes into epics, user stories, data contracts, and interface specifications; outline system interactions, dependencies, and non-functional requirements (performance, security, scalability, compliance).

•     Requirement Gathering & Analysis: Lead structured discovery with stakeholders to elicit, clarify, and document business needs and success metrics; convert ambiguity into clear, testable, and technically feasible requirements.

•     Frameworks & Documentation: Produce PMI-specific artifacts (current/target state diagrams, sequencing/transition plans, cutover runbooks, decision logs, RACI/DACI, prioritization matrices) to drive shared understanding and decisions.

•     Execution Planning: Build and maintain integration plans with scope, milestones, dependency maps, risks/assumptions, and mitigation strategies; define and track measurable outcomes and KPIs.

•     Data Quality & Reconciliation: Partner with data teams to define reconciliation strategies, data quality checks, and migration validation plans; ensure lineage and auditability across systems during transitions.

•     Stakeholder Management: Manage stakeholder communication independently across both organizations; facilitate workshops, align on scope and phasing, handle trade-offs, and maintain a consistent communication cadence.

•     Status Reporting: Provide transparent, timely status updates and executive summaries highlighting progress, decisions/asks, risks, and blockers.

•     Cloud Architect: Should be able to understand cloud architecture and provide suggestions on component and preferred architecture.

Mandatory skill sets:

Expected Deliverables (PMI)

•     Stack inventory and current-state assessment

•     System and data mapping matrix (acquired → Cvent)

•     Integration options summary with recommendations and trade-offs

•     BRD/FRD and user stories with acceptance criteria

•     Cutover plan and runbook, with risk/rollback considerations

•     Reconciliation and validation plan with data quality checks

Preferred skill sets:

Qualifications (Must-Have)

•     10+ years of overall experience in technology or product environments

•     Demonstrated ability to assess unfamiliar stacks and produce clear mappings to a target ecosystem

•     Domain-informed decision-making; can recommend integration approaches and trade-offs during discovery/design

•     Technical fluency: read/write basic SQL; interpret API specs; understand data models and identity/permission models

•     Strong stakeholder management and communication; facilitates workshops and executive readouts

•     Proficient with Jira, Confluence, Salesforce, Snowflake, and Lucid chart (or equivalents)

Working Style, Tools, and Processes

•     Working style: Independent executor who drives clarity in ambiguous, fast changing PMI contexts; concise communicator who surfaces risks early and proposes options; collaborative partner balancing business value, user impact, and technical feasibility.

•     Tools: Salesforce (CRM), Snowflake (data platform), Cloud platforms (Azure / AWS), Jira (delivery), Confluence (documentation), and Lucidchart (flows/architecture). Also comfortable with Google Docs/Slides or Microsoft PowerPoint for presentations, and Sigma Computing or comparable lightweight dashboards/BI for metrics.

•     Core practices: Executive ready status updates, decision logs, RAID registers; disciplined backlog hygiene, requirements traceability, and version control for documentation.

Years of experience required:

10+ years

Education qualification:

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

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

Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Full Stack Development

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 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

May 18, 2026