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Snowflake+Cortex - Senior Manager

Bengaluru · Director

Recently posted - highest visibilityVerified listingPosted 2d ago

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Skills required

12 listed
Azure Data FactoryManagement Information SystemsInformation SciencesChemical EngineeringIndustrial EngineeringMathematical StatisticsSolution DeliverySystems Thinking+4 more
Azure Data FactoryManagement Information SystemsInformation SciencesChemical EngineeringIndustrial Engineering

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Job description

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Senior Manager

Job 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+Cortex Senior Manager you will lead data engineering work that designs and builds data pipelines, integration layers, and transformation solutions that help turn raw data into actionable insights. As a Senior Manager you will lead large projects, shape process improvements, guide teams through complex technical work, and use sound judgment to balance client needs, delivery priorities, and operational excellence within our Data and Analytics Engineering practice. In this role at PwC, you will use your technical background in Snowflake and Cortex to support client-facing delivery, communicate clear recommendations, and help build data solutions that support business decision-making and growth.

Responsibilities

- Leading Snowflake and Cortex data engineering engagements across client environments, translating business needs into data pipelines, integration patterns, and transformation logic
- Designing and delivering data architecture, warehouse structures, and dimensional models that support scalable analytics and reporting
- Guiding implementation of data ingestion, orchestration, validation, and performance tuning across Snowflake, Databricks, Azure Data Factory, and Airflow
- Advising client stakeholders on modernization strategies for data platforms, governance practices, and migration approaches
- Reviewing data quality, security, anonymization, and database management practices to support dependable data use
- Coordinating technical delivery across multiple workstreams, resolving complex design issues, and adjusting priorities as program needs shift
- Coaching team members on data engineering methods, technical standards, and applied use of cloud-based analytics tools
- Translating technical decisions into clear updates for clients and internal leadership, including risks, dependencies, and delivery progress

What You Must Have

- At least a Bachelor's degree
- At least 12 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 Cortex solution delivery across data modernization initiatives
- Applying systems thinking to uncover data architecture opportunities and complexities
- Translating client feedback into data engineering improvements and adjustments
- Leading ambiguous data programs while coaching diverse teams and peers

Travel Requirements

Not Specified

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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