Lead Data Engineer – Technology Consulting

PwC

. Design and own the architecture of data pipelines and platforms using Databricks, Snowflake, MS Fabric, Azure, AWS, GCP, and other cloud-native technologies .

Posted 11/5/2026full-timePrague • CzechiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and owning data pipeline architectures using cloud-native technologies such as Databricks, Snowflake, and Azure. Proven ability to lead data engineering projects, enforce best practices, and mentor team members while ensuring scalable and secure solutions.

Highest-signal resume keywords

Data Engineering LeadershipCloud Architecture DesignCI/CD ImplementationPython ProgrammingCloud Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline ArchitectureDatabricksSnowflakePythonCI/CDInfrastructure as CodeOOPTestingDesign PatternsData Warehousing

Soft Skills

Technical LeadershipCommunication SkillsMentoringWorkshop FacilitationStakeholder Presentation

Tools & Technologies

AzureAWSGCPTerraformBicepCloudFormationPySparkKafkaAirflowBigQuery

Certifications & Qualifications

Azure Solutions ArchitectAWS Certified Solutions ArchitectGCP Professional Data Engineer

Industry Keywords

Data IntegrationBatch ProcessingReal-Time ProcessingLakehouse ArchitectureOperational Data Stores

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryCloudGoogle Cloud PlatformKafkaPySparkPythonSnowflakeTerraform

About the role

Key responsibilities & impact

Design and own the architecture of data pipelines and platforms using Databricks, Snowflake, MS Fabric, Azure, AWS, GCP, and other cloud-native technologies
Lead the technical delivery of data engineering projects
Ensure solutions are scalable, secure, and maintainable
Define and enforce engineering best practices and coding standards
Drive adoption of CI/CD and Infrastructure as Code
Guide data integrations between databases, applications, APIs, and cloud platforms, including batch and real-time integration
Mentor team members and support their technical growth
Conduct code reviews
Act as the primary technical point of contact for clients
Lead technical workshops and present architectural decisions
Translate complex requirements into robust, well-architected solutions
Grow toward the Cloud Data Platform Architect role

Requirements

What you’ll need

Proven experience leading data engineering teams or projects
Strong technical and people leadership skills
Deep hands-on experience with Python, GIT, databases, OOP, testing, and design patterns
Strong track record delivering projects using Databricks, Snowflake, or MS Fabric
Experience with Azure, AWS, or GCP
Cloud certification, such as Azure Solutions Architect, AWS Certified Solutions Architect, or GCP Professional Data Engineer
Hands-on experience with CI/CD and Infrastructure as Code, such as Terraform, Bicep, or CloudFormation
Excellent communication skills and ability to lead technical workshops and present to senior stakeholders
Expertise in data warehousing, data lakes, Lakehouse architecture, operational data stores, or data modeling is advantageous
Multiple cloud certifications or multi-cloud expertise is advantageous
Experience designing CI/CD pipelines and IaC frameworks at scale is advantageous
Experience with PySpark, Kafka, Airflow, or BigQuery is advantageous
Experience with enterprise-grade batch and real-time integration architectures is advantageous
Experience with AI, LLMs, or AI agents in data engineering workflows, including RAG or prompt engineering, is advantageous

Benefits

Comp & perks

Professional growth and career development opportunities
Equal Pay-certified fair pay practices
Flexible benefits programme with 55,000 points
35 days of paid time off, including three well-being days and two additional days off at the end of the year
One paid volunteering day every year
Opportunity to work from one of PwC’s international offices, available from the Senior Associate level
Ongoing training and certifications in consulting, business, technology, Agile, project management, data analytics, cloud, Microsoft technologies, business process analysis, and consulting skills
Buddy programme, regular feedback, and access to a coach
Extensive well-being support, workplace yoga, and running events
Ultraboook and iPhone with unlimited data
Social events and Away Days