Snowflake/Databricks+Oracle EBS - Manager
Pwc (Crm Experienced Careers Site) Open At a glance
Manager-level Data Engineering role at Pwc (Crm Experienced Careers Site). Bangalore · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Lead client data engineering work across Snowflake, Databricks and Oracle EBS integration efforts
- Plan project budgets, schedules and scope across data platform workstreams
- Guide pipeline, transformation and integration designs for analytics and reporting needs
- Review data architecture, models and database performance for maintainable, scalable solutions
- Coach engineers, coordinate delivery teams and resolve risks with project stakeholders
What you bring
- You hold at least a bachelor's degree
- You bring eight or more years of professional experience
- You can communicate in English, both in writing and conversation
Who this fits
This manager role suits someone who can lead client-facing data engineering delivery and coach team members. The work combines project oversight with hands-on guidance across data pipelines, platforms and integrations.
From the employer
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Snowflake/Databricks+Oracle EBS Manager you will lead data engineering work across Snowflake, Databricks, and Oracle EBS, helping clients design and build data pipelines, integration flows, and transformation solutions within our Data and Analytics Engineering practice. As a Manager you will coach teams, manage workstreams, and bring an accountable, practical approach to planning, execution, and delivery while using technology to support client needs and team development. In this role at PwC, you will guide delivery across data infrastructure and analytics engineering activities, support stakeholder communication, and help shape solutions that turn raw data into usable insights for business decision-making.
Responsibilities
- Leading data engineering workstreams across Snowflake, Databricks, and Oracle EBS integration initiatives for client engagements
- Managing project planning, budget tracking, delivery timelines, and scope across multiple data platform activities
- Guiding teams in designing data pipelines, transformation logic, and integration layers for analytics and reporting use cases
- Reviewing data architecture, model design, and database performance to support scalable and maintainable solutions
- Coordinating work across technical teams to translate business requirements into data ingestion, storage, and processing solutions
- Coaching team members on data engineering methods, platform usage, and delivery expectations
- Applying analytics engineering tools and cloud data technologies to improve data quality, validation, and pipeline reliability
- Identifying risks, dependencies, and issues early, then escalating concerns and driving resolution across stakeholders
What You Must Have
- At least a Bachelor's degree
- At least 8+ years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating Snowflake and Databricks data engineering delivery experience
- Leading Oracle EBS data modernization and integration workstreams
- Managing client-facing analytics projects across complex data ecosystems
- Coaching junior team members through design and delivery reviews
- Applying Agile methods, data modeling, and pipeline optimization
Travel Requirements
Not SpecifiedJob Posting End Date
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