Data Engineer-Senior Associate-Analytics as service - operate

Overview

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

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

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold 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.
  
  

Data Analytics & Insights Managed Service

Experience: 6 – 10 years

Key Skills: Data Engineering, Data Modeling (Data Vault 2.0)

Educational Qualification: Bachelor’s degree in computer science / IT or relevant field

Work Location: Bangalore, India

Job Description

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution using Data, Analytics & Engineering capabilities. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Demonstrate critical thinking and the ability to bring order to complex, unstructured data problems.
• Review data engineering deliverables, data models, and transformation logic for quality and accuracy.
• Own status reporting, milestone tracking, and delivery governance for assigned workstreams.
• Adherence to SLAs with experience in incident, change, and problem management within managed services.
• Review own work and that of others for data quality, modeling standards, and architectural alignment.
• Demonstrate sound judgment in selecting appropriate tools and patterns and clearly articulate rationale.
• Seek and embrace opportunities providing exposure to diverse platforms, industries, and delivery models.
• Communicate in a clear, structured manner when influencing stakeholders and team members.
• Build and maintain strong client relationships by adapting communication and leadership style.
• Uphold the firm’s code of ethics and business conduct.
• Demonstrate leadership by working directly with clients and leading data engineering engagements.
• Work collaboratively in a team environment with cross-functional and cross-competency teams.
• Actively contributes to COE initiatives, accelerators, standards, and best practices.
• Proactively manage risks, escalations, and dependencies across delivery.
  
  

Data Vault 2.0 (Hubs, Links, Satellites, Business Vault); dbt (core/cloud), WhereScape (RED/3D); Informatica (PowerCenter/IDMC); Cloud Data Warehouse, Advanced SQL, ELT and CDC, Orchestration (Bhoomi), Git and CI/CD for data

Secondary Skills: Teradata, Python, SSIS, ServiceNow, Jira, Healthcare insurance domain knowledge (payer: claims, eligibility, provider, HIPAA)

Required Skills & Experience

• Minimum 6 years of experience in enterprise data engineering and managed data & analytics programs.
• Lead the design, review, and governance of Data Vault 2.0 architectures, including: (Hubs, Links, Satellites), Business Vault constructs Downstream consumption and semantic layers
• Strong experience in WhereScape and Informatica for data ingestion, transformation, orchestration, and automation.
• Ability to translate business requirements into scalable data models and transformation designs, particularly in the health insurance domain (claims, members, providers, policies).
• Guide teams in implementing best practices for data modeling, historization, auditability, and scalability.
• Provide technical oversight for data pipeline performance, reliability, and data quality.
• Support and influence migration strategy from traditional ETL to dbt and cloud-native ELT architectures.
• Partner with DevOps and platform teams to enable CI/CD, version control, automated testing, and controlled deployments.
• Strong expertise in writing and reviewing complex SQL and transformation logic.
• Experience delivering Managed Data & Analytics services, including SLA-driven support and enhancements.
• Lead requirement discussions with business and technology stakeholders; manage dependencies and delivery risks.
• Effectively communicate project status, risks, and outcomes throughout the delivery lifecycle.
• Strong analytical thinking, problem-solving ability, and stakeholder management skills.
  
  

• Experience with dbt implementation or migration programs.
• Cloud certifications (Azure / AWS / GCP / Snowflake).
• Exposure to data governance, metadata management, lineage, and data quality frameworks.
• Experience working in regulated environments (Health Insurance, Healthcare, HIPAA).
• DevOps or DataOps certifications or hands-on exposure.