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About the Role

This job is responsible for providing leadership, technical direction, and oversight to a team delivering technology solutions. The Feature Lead serves as a hands-on Technical Lead and individual contributor responsible for designing, developing, and delivering scalable data engineering, AI/ML, and analytics solutions while guiding a scrum team through execution. This role combines technical leadership, solution architecture, hands-on development, agile delivery management, and mentoring.

Responsibilities

Design, develop, and own end-to-end feature delivery for data engineering and AI/ML initiatives
Lead technical design for scalable, fault-tolerant, secure, and high-performing data platforms
Build and optimize batch and streaming pipelines for analytical and AI/ML use cases
Develop and support solutions on the Hadoop ecosystem, leveraging enterprise big data tools and frameworks for large-scale data processing
Collaborate with stakeholders to understand requirements and convert them into practical, scalable technical solutions
Lead low-level technical design, code reviews, architecture reviews, and engineering standards adoption
Ensure solutions meet product acceptance criteria with minimal technical debt
Partner with the Product Owner to ensure backlog items are well-defined with clear acceptance criteria
Drive work breakdown, sprint planning, estimation, prioritization, and team execution
Mentor team members on coding standards, design patterns, peer reviews, debugging, and development best practices

Requirements

3+ years of job related experience required
Strong SQL knowledge and experience writing complex, high-performance queries
Strong hands-on experience with the Hadoop ecosystem and related big data technologies, including: HDFS, Ozone, Spark, Hive, Impala, YARN, Sqoop, Oozie, Hue, MapReduce
Experience with AI/ML technologies, including: LLM models, building AI agents, RAG-based architectures, prompt workflows, vector databases / semantic retrieval, orchestration frameworks such as LangChain, LangGraph, or similar technologies, integrating AI/ML capabilities into enterprise applications, implementing Copilot-based solutions and automations
Strong Python and shell scripting skills for data engineering, analytics, automation, and AI/ML integration
Experience with batch and streaming data processing using technologies such as Kafka, Spark Streaming, Flink, or similar frameworks
Experience with cloud environments such as AWS, Azure, or GCP
Experience with NoSQL / modern data storage technologies such as MongoDB, HBase and vector-capable stores
Experience with data lake / lakehouse / hybrid data architectures
Experience with data analytics and visualization tools such as Tableau, Power BI, or similar tools
Strong understanding of system architecture, data modeling, distributed processing, performance optimization, and scalable platform design
Experience with CI/CD pipelines, Git-based development, JIRA, Agile ceremonies, peer reviews, and release management
Bachelor's or Master's degree in Science or Engineering, or a related field
Minimum of 3-5 years of industry experience, with at least 3 years focused on hands-on work in the Big Data domain
Strong leadership mindset with the ability to guide, mentor, and uplift engineering teams
Deep expertise in data engineering, distributed systems, and large-scale analytics platforms
Strong understanding of AI/ML solution development lifecycle, including data preparation, feature engineering, model integration, and production deployment
Experience building and supporting AI/ML-enabled applications, intelligent automation solutions, or data products
Strong understanding of modern data architecture including: Batch processing, Real-time streaming, Data lake / Lakehouse principles, Scalable analytics platforms
Experience working in Agile (Scrum/Kanban) delivery models
Exposure to cloud technologies and hybrid architectures
Strong stakeholder collaboration and ability to translate business needs into technical solutions
Experience with engineering best practices, automation, CI/CD, and production support
Familiarity with AI-assisted development tools such as Copilot to improve engineering productivity

Skills

Automation
Influence
Result Orientation
Stakeholder Management
Technical Strategy Development
Architecture
Business Acumen
Risk Management
Solution Delivery Process
Solution Design
Agile Practices
Analytical Thinking
Collaboration
Data Management
DevOps Practices

Location

San Francisco, CA

Work Type

Onsite
Full-time

Experience Level

3+ years of job related experience
Minimum of 3-5 years of industry experience

Education Level

Bachelor's or Master's degree in Science or Engineering, or a related field

Salary/Compensations

$106,500.00 - $173,700.00 annualized salary

Benefits

Industry-leading benefits
Access to paid time off
Resources and support for employees
Discretionary incentive eligible
Eligible for annual discretionary award

About the Company

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection.
We drive Responsible Growth and deliver for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth.
We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success.
We value the unique perspectives individuals bring from all backgrounds and career paths.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact.

Equal Opportunity

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.