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GCP Data Architect - Manager

PricewaterhouseCoopers

Bangalore2 months ago
108 views47 saves10 applies

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Job Type

full time

Description

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Manager

Job Description & Summary

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.
Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.

GCP Data Architect (Manager)

Experience: 8+ Years

Role Type: Individual Contributor (Hands-on Data Engineering)

We are looking for a GCP Data Architect to join the Canada Talend League (CTL) in a Manager-grade Individual Contributor role. This role combines architecture and deep hands-on data engineering expertise to design, build, and optimize scalable, cloud-native data platforms on Google Cloud.

Key Responsibilities:

Design and implement scalable, secure, and cost-efficient data architectures on GCP.

Act as a hands-on Data Engineer, building and maintaining robust data pipelines and ingestion frameworks.

Create and maintain Source-to-Target Mapping (STTM) and ensure data lineage, quality and consistency.

Develop data models, including dimensional modeling (star/snowflake schemas) for analytical systems.

Gather and translate client business requirements into technical solutions and architecture designs.

Provide end-to-end solutioning for client use cases and data modernization initiatives.

Contribute to RFPs/proposals, including solution architecture, effort estimation, and technical approach.

Implement and manage CI/CD pipelines for data workflows using modern DevOps practices.

Troubleshoot and optimize performance of on-premise and cloud data warehouses.

Drive best practices, reusable frameworks and standards across the CTL practice.

Mentor and guide junior engineers and team members.

Ensure adherence to data governance, security, and compliance standards.

Drive innovation, optimization, and continuous improvement in GCP data platforms.

Required skills:

Strong hands-on experience with:

BigQuery (data warehousing, performance tuning, partitioning, clustering)

Cloud Dataflow (Apache Beam) for batch and streaming pipelines

Cloud Composer (Airflow) for orchestration

Pub/Sub for real-time ingestion

Cloud Storage and BigLake

Expertise in ETL/ELT design patterns and large-scale data processing.

Proficiency in SQL and at least one programming language (Python/Java).

Strong understanding of GCP IAM, security, and networking basics.

Experience in CI/CD using tools like Cloud Build, Git, Terraform (IaC).

Knowledge of data partitioning, clustering, and query optimization in BigQuery.

Experience with containerization (Docker, Kubernetes/GKE).

Relevant GCP Certifications (Professional Data Engineer, Cloud Architect) preferred.

egories for job description details.

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Software Engineering team you will design, build, and enhance scalable, cloud-native data platforms on Google Cloud, acting as a hands-on Data Engineer. As a Manager you will provide end-to-end solutioning for client use cases, mentor junior engineers, and drive premium practices across the team. This position offers the chance to innovate and continuously improve GCP data platforms while đảm bảo adherence to data governance and compliance standards.

Responsibilities

- Develop and enhance cloud-native data platforms on Google Cloud

- Provide thorough solutions for various client use cases

- Mentor junior engineers to enhance their technical capabilities

- Drive adherence to data governance and compliance standards

- Foster a culture of continuous improvement and innovation

- Collaborate with teams to implement leading practices in data engineering

- Secure project deliverables meet quality and performance expectations

- Analyze and address challenges in data platform development

What You Must Have

- Bachelor's Degree

- 6 years of experience

- Oral and written proficiency in English required

What Sets You Apart

- Proven experience in GCP Data Architecture

- Relevant GCP Certifications preferred

- Excelling in data pipeline optimization

- Designing scalable and secure data architectures

- Mentoring and guiding junior engineers

- Driving innovation in cloud data platforms

- Implementing CI/CD pipelines for data workflows

- Upholding adherence to data governance standards

Travel Requirements

Not Specified

Job Posting End Date

This job is found at InterviewStack.io

Skills

gcpdata pipelinessnowflakeci/cdbigquerydata warehousingapacheairflowetlsqlpythonjavaiamgitterraforminfrastructure as codecontainerizationdockerkubernetesuser experiencedata governancedata architecturedata lineage

About PricewaterhouseCoopers

PricewaterhouseCoopers (PwC) is a multinational professional services network offering consulting, audit, and assurance services. It operates globally with a significant presence in India, including offices in Gurugram.

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