TransUnion's Job Applicant Privacy Notice
Team Overview
• We are seeking a highly skilled Cloud Data Engineer with strong expertise in Google Cloud Platform (GCP) to join our Cloud Strategy team. The ideal candidate will have 5-8 years of experience designing, implementing, optimizing, and governing cloud-based data platforms and analytics workloads.This role requires deep technical expertise in GCP Data Engineering services, cloud cost optimization, workload right-sizing, architecture design, resource tagging/governance, and FinOps practices. The candidate should be comfortable partnering with engineering, architecture, platform, and business teams to improve performance, scalability, reliability, and cloud cost efficiency. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview And Core Responsibilities
- ata Platform Architecture & Engineering
- Design, implement, and optimize enterprise-scale data platforms on GCP.
- Build scalable batch and streaming data pipelines.
- Architect data ingestion, transformation, storage, and consumption solutions.
- Evaluate and recommend the most appropriate GCP services for specific use cases.
- Define standards and best practices for cloud-native data engineering.
- GCP Workload Optimization
- Analyze existing cloud workloads and identify optimization opportunities.
- Recommend right-sizing strategies for compute, storage, and networking resources.
- Improve resource utilization across data engineering platforms.
- Optimize cluster sizing, auto-scaling policies, job scheduling, and resource allocation.
- Reduce operational costs without impacting performance or reliability.
- FinOps & Cloud Cost Management
- Perform detailed cloud cost analysis and chargeback/showback reporting.
- Establish cloud cost governance frameworks and optimization programs.
- Identify idle, underutilized, and overprovisioned resources.
- Develop cloud cost dashboards and KPIs.
- Track budget consumption and provide cost-saving recommendations.
- Build forecasting models for cloud spending.
- Governance & Resource Management
- Define and enforce metadata, labeling, and tagging standards.
- Ensure cloud resources are properly categorized for cost allocation and accountability.
- Implement governance controls for cloud resource lifecycle management.
- Collaborate with platform and security teams to ensure compliance with organizational policies.
- Performance Optimization
- Tune data pipelines for throughput, latency, and cost efficiency.
- Optimize BigQuery queries and storage patterns.
- Improve Spark workload performance through cluster tuning.
- Optimize data partitioning, clustering, indexing, and caching strategies.
- Establish SLIs/SLOs for data platforms and monitor operational efficiency.
- Stakeholder Collaboration
- Work closely with architects, engineering teams, finance teams, and business stakeholders.
- Provide consulting and technical guidance on cloud adoption and optimization.
- Present cost-benefit analysis and architecture recommendations to leadership teams.
Required Knowledge And Experiences
- 5-8 years of experience in Data Engineering, Cloud Engineering, or Cloud Architecture.
- Minimum 3+ years of hands-on experience with Google Cloud Platform.
- Strong experience designing cloud-native data platforms.
- Experience implementing cloud cost optimization initiatives.
- Experience with enterprise-scale data processing environments.
Strong knowledge and hands-on experience with:
Data Engineering Services- BigQuery
- Dataproc
- Dataflow
- Pub/Sub
- Cloud Composer (Airflow)
- Cloud Storage
- BigLake
- Data Fusion
- Datastream
- Cloud SQL
- AlloyDB
- Spanner
- Looker / Looker Studio
- GKE (Google Kubernetes Engine)
- Compute Engine
- Cloud Run
- Serverless technologies
- Instance Groups
- Managed Services
- Cloud Monitoring
- Cloud Logging
- Cloud Trace
- Cloud Profiler
- Cloud Asset Inventory
Strong understanding of:
- GCP pricing and billing models
- Compute cost optimization
- BigQuery cost controls and query optimization
- Dataproc cluster sizing and lifecycle optimization
- Storage class optimization
- Committed Use Discounts (CUDs)
- Sustained Use Discounts
- Reservation planning
- Cost allocation models
- Chargeback and Showback mechanisms
- Budgeting and forecasting
- Cloud ROI analysis
- Unit economics
- Capacity planning
- FinOps best practices
- Resource Labels and Tags
- Cost Center Mapping
- Environment Classification (Prod, Non-Prod, Dev, Test)
- Data Classification
- Ownership Attribution
- Resource Lifecycle Governance
- Automated policy enforcement
- Apache Spark
- PySpark
- SQL
- Advanced BigQuery optimization
- Data Modeling
- ETL/ELT design
- Streaming architectures
- Data Warehousing
- Lakehouse architectures
- Data Quality frameworks
- Data Lineage
- Metadata management
- Terraform
- Infrastructure as Code (IaC)
- GitHub Actions / Azure DevOps / Jenkins
- CI/CD pipelines
- Python
- Shell scripting
- Kubernetes
- Docker
- IAM design and governance
- Service Accounts
- VPC and networking fundamentals
- Data protection and encryption
- Secrets management
- Audit logging
- Compliance and governance frameworks
One or more of the following:
- Google Professional Data Engineer
- Google Professional Cloud Architect
- Google Professional Cloud DevOps Engineer
- FinOps Certified Practitioner
- FinOps Certified Professional
- Terraform Associate
The successful candidate should be able to:
- Reduce cloud spend through optimization initiatives.
- Improve utilization of GCP data platform resources.
- Establish tagging and governance standards.
- Optimize BigQuery, Dataproc, Dataflow, and storage costs.
- Improve performance of enterprise data pipelines.
- Provide measurable savings through architecture and workload optimization.
- Drive cloud adoption while maintaining cost efficiency and operational excellence.
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
TransUnion Job Title
Sr Developer, Applications Development
Skills Required
- 5-8 years of experience in Data Engineering, Cloud Engineering, or Cloud Architecture
- At least 3 years of hands-on Google Cloud Platform experience
- Experience designing cloud-native data platforms
- Experience implementing cloud cost optimization initiatives
- Experience with enterprise-scale data processing environments
- Strong knowledge and hands-on experience with GCP data engineering, compute, infrastructure, monitoring, and operations services
- Experience with Apache Spark, PySpark, SQL, data modeling, ETL/ELT, streaming architectures, data warehousing, and lakehouse architectures
- Experience with Terraform, infrastructure as code, CI/CD pipelines, Python, shell scripting, Kubernetes, and Docker
- Understanding of GCP pricing, billing, FinOps, cost allocation, chargeback/showback, budgeting, forecasting, and cloud ROI analysis
- Knowledge of IAM, service accounts, VPC networking, data protection, encryption, secrets management, audit logging, and compliance frameworks
- Google Professional Data Engineer certification
- Google Professional Cloud Architect certification
- Google Professional Cloud DevOps Engineer certification
- FinOps Certified Practitioner certification
- FinOps Certified Professional certification
- Terraform Associate certification
What the Team is Saying
What We Do
TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace. We do this by having an accurate and comprehensive picture of each person. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve. We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.
Why Work With Us
Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.
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TransUnion Teams
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
