IN_Senior Manager – Delivery Manager / Architect_– Data and Analytics – Advisory – Gurgaon

Price Waterhouse Cooper LLP; Gurugram District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

PwC is seeking an experienced Delivery Manager / Architect with strong expertise in Snowflake, data warehousing, SQL/T-SQL, and stakeholder management to drive delivery in fast-paced environments. The role requires assessing technology stacks, documenting requirements, and coordinating cross-functional teams.

Ideal candidate will manage delivery plans, risks, and dependencies, while collaborating with data and engineering teams on migration and validation planning.

Qualifications

• 12+ years of experience in Delivery Management, Business Analysis, or Integration roles.
• Strong knowledge of Snowflake, Data Warehousing, and SQL/T-SQL.
• Experience in requirements gathering, stakeholder management, and delivery planning.
• Familiarity with APIs, data models, system integrations, and access/permission models.
• Excellent communication, documentation, and problem-solving skills.

Responsibilities

• Assess current technology, data, and process landscapes and document findings; map source systems, data entities, workflows, and integrations to target platforms; gather, analyze, and document business and technical requirements; translate requirements into BRD/FRD, user stories, acceptance criteria, and integration plans; recommend integration approaches based on business needs, cost, timeline, and technical feasibility; manage delivery plans, milestones, risks, dependencies, and stakeholder communication; work closely with data and engineering teams on migration, reconciliation, and validation planning; facilitate workshops, provide status updates, and support executive-level reporting; collaborate with architecture teams and provide inputs on cloud and system design.

Skills

Snowflake

Data Warehousing

SQL/T-SQL

Delivery Management

Business Analysis

APIs

Education

MBA

Bachelor of Engineering

Bachelor of Technology

Tools

Jira

Confluence

Salesforce

Lucidchart

Job description

Job Description & SummaryAt 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 forour 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 foreach other. Learn more about us.

At 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.

Job Description & Summary:We are looking for an experienced Delivery Manager / Architect with strong expertise in Snowflake, data warehousing, SQL/T-SQL, stakeholder management, and delivery execution. The ideal candidate will assess technology stacks, gather and document requirements, drive integration planning, and manage delivery in fast-paced, ambiguous environments. This role requires a strong mix of delivery management, business analysis, technical understanding, and cross-functional stakeholder coordination.

Responsibilities:Assess current technology, data, and process landscapes and document findings; map source systems, data entities, workflows, and integrations to target platforms; gather, analyze, and document business and technical requirements; translate requirements into BRD/FRD, user stories, acceptance criteria, and integration plans; recommend integration approaches based on business needs, cost, timeline, and technical feasibility; manage delivery plans, milestones, risks, dependencies, and stakeholder communication; work closely with data and engineering teams on migration, reconciliation, and validation planning; facilitate workshops, provide status updates, and support executive-level reporting; collaborate with architecture teams and provide inputs on cloud and system design.

Mandatory skill sets:12+ years of experience in Delivery Management, Business Analysis, or Integration roles; strong knowledge of Snowflake, Data Warehousing, and SQL/T-SQL; experience in requirements gathering, stakeholder management, and delivery planning; good understanding of APIs, data models, system integrations, and access/permission models; familiarity with Jira, Confluence, Salesforce, and Lucidchart; exposure to AWS and/or Azure; excellent communication, documentation, and problem-solving skills.

Preferred skill sets:Experience in post-merger integration (PMI) or enterprise transformation programs; ability to work independently in dynamic and evolving environments; strong executive communication and workshop facilitation skills.

Years of experience required:12+ years

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: MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required SkillsAmazon Web Services (AWS), Data Engineering

Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, 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 {+ 38 more}

Desired Languages (If blank, desired languages not specified)