Lead Data Engineer - Financial Crimes

Position Overview

Our banking client is seeking an experienced Lead AML Data Engineer / Financial Crimes Data Sourcing Developer to join a Global Financial Crimes Technology team supporting critical Anti-Money Laundering (AML) and Financial Crimes initiatives.

Key Responsibilities

• Design, develop, enhance, and maintain complex applications and data solutions supporting Financial Crimes technology initiatives.
• Lead large-scale AML data sourcing, provisioning, and integration efforts across multiple upstream and downstream systems.
• Collaborate with business partners to gather requirements, refine user stories, and translate business needs into technical solutions.
• Perform data analysis, data modeling, and impact assessments to support strategic technology initiatives.
• Develop and optimize ETL processes and data pipelines within enterprise data environments.
• Execute database-intensive development, data migrations, and data conversion activities.
• Conduct proof-of-concept work to evaluate new technologies and mitigate implementation risks.
• Support the full software development lifecycle, including design, development, testing, deployment, and production support.
• Implement and maintain CI/CD pipelines and DevOps practices.
• Partner with Production Support and Platform teams to manage application upgrades, change management activities, and technical enhancements.
• Drive adherence to data governance standards, development best practices, and enterprise change management requirements.
• Provide leadership and coordination across distributed development teams.
• Effectively communicate project status, risks, timelines, and deliverables to business and technology stakeholders.
• Operate within Agile delivery frameworks and ensure enterprise compliance standards are met.

Required Qualifications

• 10+ years of experience in Data Engineering, Data Warehousing, or Enterprise Application Development.
• Strong Expertise In Teradata 16.x SQL and BTEQ scripting
• Teradata Parallel Transporter (TPT)
• Informatica 10.x
• UNIX/Linux Shell Scripting
• Autosys
• Cloudera CDP Hadoop ecosystem including Hive, Impala, PySpark, and Scala
• Extensive experience with data sourcing, data modeling, and enterprise data provisioning.
• Strong SQL performance tuning and database optimization skills.
• Experience executing large-scale data migrations and conversion initiatives.
• Hands-on experience designing, building, and supporting enterprise data solutions.
• Ability to work independently while coordinating development efforts across distributed teams.
• Strong business engagement and requirements discovery skills.
• Experience With Agile methodologies SDLC processes CI/CD practices
• Jira Bitbucket Jenkins Artifactory Ansible
• Strong communication, stakeholder management, and problem-solving skills.

Preferred Qualifications

• Experience supporting Anti-Money Laundering (AML), Transaction Monitoring, Financial Crimes, Fraud, or Compliance technology platforms.
• Knowledge of banking and financial services data domains.
• Experience working within highly regulated enterprise environments.
• Prior leadership or technical lead experience on large-scale data transformation initiatives.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related quantitative discipline.