Software Engineering Manager- Data and Analytics
- Wells Fargo
- 5 - 10 years
- Hyderabad
- 8 hours ago
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Job Description
About this role:
Wells Fargo is seeking a highly motivated Engineering Manager to lead data engineering teams within the HR Information Technology organization. This role will drive innovation, shape the data strategy, and oversee the design, development, and delivery of scalable data engineering and analytics solutions across the HR data ecosystem. You will be instrumental in executing and implementing data strategy for enterprise data initiatives, Cloud engineering, Data Lake/lakehouse, and data products - while managing high-performing teams of data engineers.
As a transformational leader, you will collaborate closely with agile teams and product managers to deliver impactful outcomes through enterprise architecture frameworks and modern engineering practices. You will bring deep technical insight into all components of the solution landscape and leverage that expertise to guide strategic decisionmaking. You will champion process improvements, operational excellence, and scalable capacity planning to ensure the organization is equipped to meet ongoing technical and business demands.
In this role, you will:
- Manage, coach, and develop a team of individual contributor engineer roles with low to moderate complexity and less experienced managers who are responsible for building high quality capabilities with modern technology
- Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
- Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture; for example, cloud readiness, application modernization and data strategy
- Function as the technical representative for the product during cross-team collaborative efforts and planning
- Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
- Act as an escalation partner for scrum masters and the teams to make decisions and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement culture
- Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed
- Interpret, develop, and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
- Collaborate and consult with the Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices
- Interact directly with third party vendors and technology service providers
- Manage allocation of people and financial resources for technology engineering including career development and performance management for engineers and managers on the team
- Hire, mentor and guide talent development of direct reports to build the skills required to effectively design and deliver innovative solutions for the supported product areas/products
Required Qualifications:
- 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 2+ years of Leadership experience
Desired Qualifications:
- 5+ years of IT experience, including 5+ years in Data engineering and 2 + years in engineering leadership and people management.
- 5+ years of Data Engineering experience, with strong expertise in driving migration from legacy data platforms to cloudnative, lakehousebased architectures
- 2+ Years of experience in transformation of legacy data framework to modern stack in private or public cloud.
- Architect and implement modern data platforms using Azure Fabric (OneLake, Data Factory, Synapse, RealTime Analytics, Power BI integration).
- 2+ years of experience in Data analytics with Power BI and/or Tableau. Design, develop, and maintain interactive dashboards and reports using Power BI and/or Tableau, translating business and HR data into actionable insights for leadership and stakeholders.
- Design and build data pipelines and platforms on GCP using services such as : BigQuery, Dataflow/Apache Beam, Pub/Sub, Dataproc/Spark, Cloud Storage, Cloud Composer/Airflow, Dataplex, Data Catalog
- Deep expertise in SQL, Python, and distributed data processing frameworks (Spark, Beam)
- Strong handson background of developing large scale enterprise applications.
- Experience with data modeling, ETL/ELT patterns, and Lakehouse architecture.
- Cloud-native engineering experience serverless, managed Spark, event-driven architectures.
- Familiarity with containerization (Docker, K8s) and workflow operators.
- Knowledge of data governance platforms (Collibra, Alation, Purview).
- Experience implementing lineage, observability, drift detection.
- Drive innovation by introducing emerging AI technologies, frameworks, and best practices to improve decisionmaking, automation, and predictive insights.
- Strong background in AI, Machine Learning, GenAI, including retrieval systems, embeddings, chunking strategies, and agentic AI workflows.
Job Expectations:
- Responsible for designing, developing, optimizing, and maintaining metadatadriven, scalable, highperformance data engineering frameworks that power critical data ecosystem in the HR space.
- Execute the enterprise data engineering roadmap aligned to business priorities.
- Lead and mentor data engineering teams delivering scalable, secure, and highquality data solutions.
- Partner with business, product, and data engineering teams to understand requirements, perform data validation, and ensure accurate, performant, and governance compliant analytics solution.
- Track industry trends, evaluate relevant tools/platforms, and adapt the best practices,
- Drive innovation by introducing emerging AI technologies, frameworks, and best practices to improve decisionmaking, automation, and predictive insights.
- Drive agile and DevOps practices, acting as an escalation partner for teams, removing impediments, fostering experimentation, and enabling predictable delivery across moderateto highrisk initiatives.
- Lead and mentor data engineering teams delivering scalable, secure, and highquality data solutions
- HCM/HR systems domain experience is a plus.
- Working knowledge of REST APIs, Object Storage, Dremio, and CI/CD pipelines
- Excellent communication, leadership, and strategic thinking skills.
- Hire, mentor and guide talent development of direct reports to build the skills required to effectively design and deliver innovative solutions for the supported product areas/products
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Engineering ManagerEmployement Type: Full timeContact Details:
Company: Wells FargoLocation(s): Hyderabad+ View Contact
Keyskills: software engineering python data analytics data catalog airflow ai power bi hr advocate machine learning sql docker analytics tableau spark gcp devops data governance scrum agile bigquery etl architecture azure
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Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community- based financial services company with $1. 9 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more ...
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