Principal Engineer - Java - Cloud - Payments-domain

About this role:

Wells Fargo is seeking a Principal Engineer

In this role, you will:

• Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
• Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Required Qualifications:

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 7+ years of technology development and strategy experience in data engineering, software development or related domains.
• Define and execute the strategic vision for the payments data technology portfolio, including data engineering, storage, processing and analytics platforms
• Proficiency in programming languages such as Java, Python, Spring Boot and SQL
• Technology development and strategy experience in Software engineering and development.
• Must have Experience in deploying application in Cloud
• Must have Experience in deploying applications using Event driven architecture using Kafka Event Streaming
• Expertise in data technologies, including cloud platforms (Open Shift, Azure, GCP), distributed systems (Hadoop, Spark) and data warehouses (Snowflake, Redshift, Big Query)
• Proven track record of leading large scale complex projects and influencing cross-functional teams.
• Rich experience working in Agile environment
• Hands on experience adopting and implementing engineering practices such as TDD, BDD, Developer lead functional automation, Automated deployment
• Experience in recommending changes to application architecture with knowledge in infrastructure aspects and good ability to articulate to stakeholders.
• Location: We are open for Bangalore Hyderabad Chennai

Job Expectations:

• Required to work in the office as per organizations In Office Adherence Return to Office (RTO)
• Technology Leadership
  • Define and execute the strategic vision for the payments data technology portfolio, including data engineering, storage, processing and analytics platforms.
  • Provide technical expertise in building scalable, high performance and cost-efficient data solutions
  • Stay ahead of industry trends and evaluate emerging technologies to recommend innovative solutions.
• Data Architecture and Engineering
  • Design and oversee the implementation of robust data architectures, ensuring high availability, security and scalability
  • Lead the development and optimization of ETL pipelines, data warehouses, and real-time streaming solutions.
  • Collaborate with cross-functional teams to define data models, governance practices and integration strategies
• Team Collaboration and Mentorship
  • Act as a mentor to engineers, fostering technical growth and best practices
  • Partner with product managers, analysts, and business stakeholders to align technical solutions with business needs
  • Promote a culture of continuous learning, experimentation and innovation,
• Operational Excellence
  • Drive engineering excellence, including CI/CD practices, automation, and monitoring data platforms
  • Troubleshoot complex technical issues and ensure platform reliability
  • Ensure compliance with data privacy and security regulations.