Principal Engineer – Data Engineering, AI & Distributed Systems
Wells Fargo3 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Own the strategic direction and modernization of enterprise data platforms and data architectures.
- Design and govern batch processing, streaming pipelines, real-time event processing, lakehouse, data mesh, and domain-oriented data product solutions.
- Lead architecture decisions and standards for data quality, lineage, metadata, observability, governance, security, and compliance.
- Provide technical leadership for enterprise application platforms, Java and Spring Boot microservices, REST APIs, event-driven architectures, and distributed systems.
- Define engineering standards for secure coding, API design, test automation, observability, documentation, scalability, availability, performance, and operability.
- Lead enterprise adoption of generative AI, including RAG pipelines, agentic AI, multi-agent orchestration, and LLM-powered business applications.
- Design AI architecture and governance standards covering responsible AI, model observability, security, compliance, and evaluation frameworks.
- Lead role-based autonomous agent implementations and partner with data science and ML teams to operationalize AI solutions at scale.
- Set cloud and platform strategy across Azure and GCP, using Docker, Kubernetes, infrastructure as code, and cloud-native services.
- Optimize reliability, scalability, performance, operational cost, resiliency, and disaster recovery for mission-critical platforms.
- Align engineering roadmaps with enterprise strategy, evaluate emerging technologies and build-versus-buy decisions, and influence senior leadership and technology investments.
- Partner with product management, architecture, data science, infrastructure, security, platform engineering, and business stakeholders.
- Mentor senior engineers and lead effectively across ambiguity, regulatory focus, and high-visibility initiatives.
Requirements
- 7+ years of engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
- 7+ years of software engineering experience with significant leadership responsibilities.
- 7+ years designing and delivering large-scale data engineering solutions.
- 7+ years leading cloud-native architectures.
- 3+ years of hands-on generative AI implementation experience.
- Deep expertise in data engineering, Java/Spring Boot microservices, and generative AI.
- Experience building mission-critical platforms for finance, treasury, risk, or regulatory functions.
- Experience training, fine-tuning, and deploying LLMs in enterprise environments.
- Experience implementing enterprise-wide AI governance and responsible AI frameworks.
- Experience leading legacy-to-cloud modernization programs.
- Proven ability to influence CIO, CTO, senior executive, business, and risk stakeholders.
- Experience with Spark, PySpark, Kafka, Flink, Snowflake, Databricks, Iceberg, Delta Lake, data lake/lakehouse architectures, real-time streaming platforms, data governance, and lineage.
- Experience with Java, Spring Boot, microservices, REST APIs, event-driven architectures, and distributed systems.
- Experience with LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent orchestration.
- Experience with one or more of LangChain, LangGraph, Google ADK, CrewAI, or AutoGen.
- Programming experience with Python and Java.
- Experience with Azure or GCP, Docker, Kubernetes, CI/CD platforms, and infrastructure as code.
- Ability to explain complex technical and data concepts to senior business and risk leaders and lead in a large, matrixed organization.
- Strong risk-aware mindset and high standards for engineering discipline, documentation, operational stability, compliance, and sound risk decisions.
Benefits
- The posting identifies Wells Fargo as an equal opportunity employer and provides disability accommodations upon request.
- The role supports a risk-mitigating, compliance-driven culture with emphasis on governance, monitoring, escalation, and regulatory obligations.
- Posting end date is September 30, 2026, although the posting may close earlier due to applicant volume.
Tech Stack
Apache FlinkApache KafkaApache SparkAzureDatabricksDockerGoogle Cloud PlatformJavaKubernetesPythonSnowflakeSpring Boot
Categories
Data EngineeringML Engineering
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.