Lead Data Engineer

What you’ll do

• Design and implement scalable, secure data platforms on Google Cloud using managed services including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer.
• Build reusable frameworks and tooling for ingestion, transformation, quality, and orchestration that can be adopted broadly rather than used only for one-off pipelines.
• Enable self-service data consumption and governance by design through standardized patterns, templates, and platform capabilities.
• Create logical and physical platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.
• Define standardized batch and streaming ingestion, transformation, and serving patterns as reusable blueprints.
• Optimize cost, performance, and reliability of GCP data workloads using approaches such as partitioning, clustering, storage classes, and autoscaling strategies.
• Develop opinionated ingestion frameworks (for example: config-driven pipelines, connectors, schema handling, and error handling) on top of Dataflow, Dataproc, or Composer.
• Deliver shared transformation libraries in Python, SQL, and Beam, including items such as common SCD patterns, data quality checks, and masking/tokenization routines.
• Provide orchestration via Cloud Composer or Cloud Workflows using reusable DAGs/templates and CI/CD integration.
• Implement data modeling approaches (dimensional, data vault, or canonical models) and semantic layers in BigQuery and related tools.
• Enforce data quality, lineage, and observability through standardized metrics, validation rules, and monitoring dashboards.
• Apply security and governance controls such as IAM, VPC-SC, CMEK, row/column-level security, and policy-driven access patterns.
• Partner with domain data engineers, analytics, and ML teams to onboard use cases onto platform services and frameworks.
• Document patterns, runbooks, and best practices, and support enablement through workshops and code examples.
• Contribute to the platform roadmap, including tool selection and evaluation of new GCP services and open-source components.

What you bring

• 5+ years of Database Engineering experience, or an equivalent combination of work experience, training, military experience, or education.
• 5+ years of data management experience in public cloud environments (GCP, AWS, or Azure).
• 5+ years hands-on experience with Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling.
• 5+ years working with orchestration tools such as Cloud Composer or Airflow, and CI/CD using Cloud Build and git-based workflows for data workloads.

Tools and technologies

• Google Cloud Platform, BigQuery, Dataflow, Apache Beam, Dataproc, Pub/Sub, Cloud Storage, Composer, Cloud Workflows
• Python, Java, Spark SQL, SQL, Airflow, Cloud Build, Git-based workflows
• IAM, VPC-SC, CMEK

Role expectations

• Be flexible to provide both application development and production support during off-hours.
• This role is not eligible for Visa Sponsorship.
• Hybrid schedule: 3 days in office, 2 days remote.
• Work style: work transparently, take ownership, and regularly self-educate to improve skills.

Desired qualifications

• Experience with logging and monitoring stacks including Cloud Logging, Cloud Monitoring, error reporting, and metrics dashboards.
• Experience with automated testing, data quality checks, and monitoring for pipelines and platform services.
• Knowledge of cloud architecture principles including networking, security, IAM, reliability, and cost management.
• Experience with core GCP data services: BigQuery, Dataflow/Apache Beam, Dataproc, and Pub/Sub.
• Experience with Agile transformations and technology roadmaps.
• Experience working with onshore and offshore teams.

Posting locations: 300 S Brevard St., CHARLOTTE, North Carolina 28202; 401 Las Colinas Blvd W Bldg A, Irving, Texas 75039

Posting end date: 19 Oct 2026 (may come down early due to volume of applicants).

Applicants with disabilities: To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Policy notes: Wells Fargo maintains a drug free workplace.

Recruitment and hiring requirements: Third-party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.