Principal Engineer

Job Description:

About Us

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection.  Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us

Global Business Services

Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations.

Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation.

In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.

Process Overview*

Developer Experience is a growing department within the Global Technology division of Bank of America.   We drive modernization of technology tools and processes and Operational Excellence work across Global Technology.

The organization operates in a very dynamic and fast-paced global business environment.  As such, we value versatility, creativity, and innovation provided through individual contributors and teams that come from diverse backgrounds and experiences.  We believe in an Agile SDLC environment with a strong focus on technical excellence and continuous process improvement.

Job Description*

We are looking for a seasoned Principal Data Engineer to architect and lead the development of a modern, cloud-native data platform that delivers actionable engineering intelligence. The platform is central to capturing and analyzing software engineering performance, including DORA and CI/CD insights, with the goal of improving developer experience, operational efficiency, and product delivery velocity. The ideal candidate combines deep data engineering expertise in modern data architecture, emerging technologies including AI/ML and Gen AI with architectural leadership to shape a platform that empowers engineering teams with the data-driven visibility.

Responsibilities*

• Lead the architecture and engineering of modern, scalable cloud-native data platform solutions leveraging modern frameworks and technologies
• Design and implement robust data pipelines (batch and streaming) that support engineering metrics, software telemetry, and operational insights
• Drive the modernization of legacy data infrastructure, supporting both batch and real-time data processing
• Drive adoption of best practices in data engineering, including data modeling, data quality, data governance, and DevOps for data
• Collaborate with Product Owners, Users, data analysts and Software engineers to understand data needs and deliver robust data pipelines
• Evaluate ad introduce emerging technologies to improve the data platform's agility, scalability, and performance
• Establish and enforce architectural guidelines, design patterns, and standards across data engineering initiatives
• Apply secure-by-design principles across data pipelines and storage, incorporating threat modeling and privacy-aware data handling. Ensure robust security, privacy, and compliance standards are embedded in data solutions
• Champion the responsible adoption of Generative AI tools for code generation, pipeline optimization, metadata management, and data quality enhancement
• Mentor and guide other engineers, play a key role in technical leadership and team development
• Partner with product and engineering leaders to align data initiatives with business outcomes

Requirements*

Education*

• BE/MCA

Certifications If Any: NA

Experience Range*

• Years

Foundational Skills*

• Deep understanding of data modeling, ETL/ELT, data pipelines and data warehousing concepts
• Proven expertise in building ELT/ETL pipelines using tools like Apache Spark, Airflow, Kafka, and cloud-native orchestration frameworks
• Strong proficiency in SQL and programming languages such as Python or Java
• Strong knowledge of threat modeling and data security practices to proactively identify and mitigate risks in data pipelines and storage systems
• Practical use of Generative AI tools (e.g.: GitHub CoPilot) for accelerating development, testing, and pipeline refactoring
• Proven leadership, collaboration, and communication skills to drive cross-functional initiatives
• Ability to influence data strategy and architectural decisions while mentoring engineers, and foster a data-driven engineering culture

Desired Skills*

• Experience modernizing data platforms using Lakehouse, data mesh, or event-driven architectural patterns
• Working knowledge of data governance, privacy frameworks, and secure cloud deployments
• Exposure to Kubernetes, Docker, and Observability practices in data engineering context
• Nice to have experience with cloud-native data platforms (e.g.: Databricks, Azure Data services)
• Exposure to AI/ML workflows, including integration with ML APIs, and orchestration of AI-powered features
• Ability to evaluate and adopt Generative AI capabilities (e.g.: LLM Integration, AI-assisted coding, architecture suggestion engines) to enhance developer and user experiences

Work Timings*

• 11:00 AM to 8:00 PM IST

Job Location*

• Chennai/ Hyderabad