developer and data engineer
Role details
Job location
Tech stack
Job description
The VP will be responsible for shaping technology, ensuring engineering excellence, and delivering scalable, secure platforms that support analytics, automation, decision-making, and regulatory or business-critical use cases, * Define data, and AI platform strategy spanning web applications, APIs, data pipelines, and AI-enabled services.
- Drive adoption of cloud-native, scalable architectures on AWS, leveraging Databricks as a core data and AI platform.
- Establish and enforce engineering standards, design patterns, and best practices across web, data, and AI domains.
- Ensure all platforms align with enterprise security, governance, and regulatory requirements
- Lead design and evolution of web-based applications and services built using Java, Python, and modern web architectures.
- Oversee development of RESTful APIs, microservices, and UI-driven applications integrated with enterprise data platforms.
- Provide overall technical leadership for enterprise-scale data engineering solutions.
- Oversee design and optimization of batch and streaming data pipelines using Databricks (Spark / PySpark) on AWS.
- Lead the integration of AI/ML tools and techniques into web and data platforms.
- Enable development of AI-ready datasets, feature engineering pipelines, and model inference capabilities.
Requirements
- 15+ years of experience in software and data engineering
- Strong hands-on background in Java and Python development.
- Proven experience leading web-based applications, APIs, and services in enterprise environments.
- Deep experience in Data Engineering and large-scale platforms.
- Significant experience with Databricks on AWS, including Spark / PySpark.
- Practical experience applying AI/ML tools and techniques in production or enterprise platforms.
- Strong understanding of cloud-native architectures, security, and governance.
- Excellent leadership, communication, and stakeholder-management skills., * Masters or B.S. degree in Computer Science or related field, * Familiarity with AI/ML platform patterns, MLOps, or model lifecycle management.
- Exposure to risk, regulatory, finance, or highly governed environments.
- Cloud, Databricks, or AI-related certifications.
- Experience working with global or distributed engineering teams
Benefits & conditions
$120,000 - $202,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans., We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.