{"id":1666732,"url":"https://alion.io/job/wells-fargo-lead-data-engineer","title":"Lead Data Engineer","company":{"id":1977,"name":"Wells Fargo","domain":"wellsfargo.com","url":"https://alion.io/company/wells-fargo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Las Colinas, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":150000,"max_usd":297000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":315},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tokenization","optional":false}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-08T21:16:56Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"About this role:\nWithin COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our cloud-native data ecosystem. In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the design, build, and operation of reusable data capabilities that power analytics and AI at enterprise scale. The ideal candidate is passionate about standardized frameworks, self-service data platforms, and governance-by-design, enabling secure, reliable, and compliant data solutions across Google Cloud services.\nThe COO Technology group powers the firm’s most critical operations by modernizing and optimizing enterprise technology platforms that enable resiliency, regulatory excellence, data services, customer experience, and strategic execution across the Chief Operating Office.\nIn this role, you will:\nDesign and implement scalable, secure data platforms on Google Cloud using managed services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).)\nBuild reusable frameworks and tooling (ingestion, transformation, quality, orchestration) that can be adopted by multiple product and domain teams.\nEnable self-service data consumption and governance by standardizing patterns, templates, and platform capabilities rather than one-off pipelines.\nDesign logical and physical data platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.\nDefine and implement standardized ingestion, transformation, and serving patterns (batch and streaming) as reusable blueprints.\nOptimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).\nBuild opinionated data ingestion frameworks (e.g., config-driven pipelines, connectors, schema handling, error handling) on top of Dataflow, Dataproc, or Composer.\nDevelop shared transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines).\nProvide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.\nImplement robust data modeling (dimensional, data vault, or canonical models) and semantic layers in BigQuery and related tools.\nEnforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards.\nApply security and governance controls: IAM, VPC-SC, CMEK, row/column-level security, and policy-driven access patterns\nPartner with domain data engineers, analytics, and ML teams to onboard use cases onto platform services and frameworks\nDocument patterns, runbooks, and best practices, and provide enablement through workshops and code examples.\nContribute to platform roadmap, tool selection, and evaluation of new GCP services and open-source components\nRequired Qualifications:\n5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education\n5+ years of data management experience within Public Cloud (GCP, AWS, Azure) \n5+ years of hands on experience of Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling.\n5+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Git-based workflows) for data workloads\nDesired Qualifications:\nExperience with logging/monitoring stacks (Cloud Logging, Cloud Monitoring, error reporting, metrics dashboards\nExperience with automated testing, data quality checks, and monitoring for pipelines and platform services.\nKnowledge of cloud architecture principles (networking, security, IAM, reliability, cost management).\nExperience with core GCP data services: BigQuery, Dataflow/Apache Beam, Dataproc, Pub/Sub.\nExperience with Agile transformations and technology roadmaps.\nExperience working with onshore and offshore teams.\nJob Expectations:\nFlexible to provide both application development and production support during off-hours\nThis role is not eligible for Visa Sponsorship\nHybrid schedule (3 days in office, 2 days remote)\nWork Transparently: You always deal in an honest, direct, and transparent way\nTake Ownership: You embrace responsibility and find joy in having the answers\nLearn More: You regularly self-educate and improve your skill set\nJob Posting Locations:\n300 S Brevard St., CHARLOTTE, North Carolina 28202\n401 Las Colinas Blvd W Bldg A, Irving, Texas 75039\nPosting End Date:\n4 Oct 2026*Job posting may come down early due to volume of applicants.\nWe Value Equal Opportunity\nWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.\nEmployees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.\nCandidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.\nApplicants with Disabilities\nTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.\nDrug and Alcohol Policy\nWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.\nWells Fargo Recruitment and Hiring Requirements:\na. Third-Party recordings are prohibited unless authorized by Wells Fargo.\nb. 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