Senior Data Modeller - AML Data & Big Data Platform

Global Business Ser. 4u; Charlotte (NC); On-site; USD 108,000 - 132,000; Full time

Benefits offered by this job

Laptop and mobile phone

Annual leave and holidays

Comprehensive insurance plan

Career development opportunities

Udemy for Business access

Job summary

Global Business Ser. 4u in Charlotte, NC seeks an experienced data engineer to lead AML data provisioning, data sourcing, modeling, and governance within an Agile environment.

You will collaborate with cross-functional teams, manage large-scale data assets and ensure alignment with business requirements and regulatory needs. The role emphasizes hands-on development, architecture refinement, and CI/CD practices across Teradata, Hadoop, and SQL-based platforms.

Qualifications

• Requires 10+ years of experience in data/ AML domains.
• Experience with Teradata 16.x, SQL/BTEQ, TPT and Informatica 10.x.
• UNIX Shell scripting, Autosys, Hadoop/Hive/Impala, PySpark or Scala.
• Strong data sourcing, modelling and provisioning for large AML data assets.
• SQL performance tuning and database intensive development.
• Able to design, build and coordinate distributed development.

Responsibilities

• Provide data insight and direction, assess tech impact across the lifecycle.
• Refine stories, define requirements, estimate work, and prototype as needed.
• Partner with Production, Platform and Business teams on changes and governance.
• Develop data provisioning models for large-scale AML data sourcing.
• Collaborate with Data Analysts and Developers to ensure best practices.

Skills

10+ years experience

Data analytics

Stakeholder engagement

SDLC/Agile

CI/CD

Communication

Data modelling

Governance

Tools

Teradata

SQL

BTEQ

TPT

Informatica

Autosys

Cloudera CDP

Hadoop

PySpark

Jira

Jenkins

Ansible

Job description

Global Business Ser. 4u in Charlotte, NC seeks an experienced data engineer to lead AML data provisioning, data sourcing, modeling, and governance within an Agile environment.

You will collaborate with cross-functional teams, manage large-scale data assets and ensure alignment with business requirements and regulatory needs. The role emphasizes hands-on development, architecture refinement, and CI/CD practices across Teradata, Hadoop, and SQL-based platforms.