Data Consultant

Introduction

We are seeking a highly skilled individual to join our team. This role is integral to embedding robust data governance practices across Agile delivery teams within the banking domain. The successful candidate will bring deep expertise in data architecture, metadata management, privacy compliance, and data quality, enabling scalable and audit-ready data ecosystems.

Required Skills & Qualifications

• Strong understanding of Treasury and/or Corporate Banking domains, including products, processes, and regulatory requirements.
• Advanced data modeling expertise, including designing conceptual, logical, and physical models for complex financial domains.
• Hands-on experience with modeling tools such as ERwin, PowerDesigner, or equivalent.
• Strong background in enterprise data architecture.
• Hands-on experience with metadata and lineage tools such as Collibra, Informatica Enterprise Data Catalog, Alation, Client Purview.

Preferred Skills & Qualifications

• Experience implementing industry-standard data governance frameworks such as DAMA-DMBOK, DCAM, and COBIT.
• Experience in large-scale financial institutions or treasury functions.
• Knowledge of data vault modeling and graph modeling for advanced use cases.
• Familiarity with data observability tools and practices to monitor data health, lineage, and reliability across pipelines.
• Prior work experience at client or in client's Industry
• Deep understanding of data privacy regulations and compliance standards and local banking regulations.

• Applicants must be able to work directly for Artech on W2

Day-to-Day Responsibilities

• Ensure governance guardrails are considered during PI Planning and reflected in Agile Features.
• Act as a System Architect and Shared Services SME to support Agile Release Trains (ARTs) in embedding governance principles.
• Provide expert guidance to Agile Teams on integrating data governance into delivery workflows and feature design.
• Collaborate with Business and Source of Record (SOR) stakeholders to define and maintain domain-level canonical data models.
• Guide Agile Teams in embedding lineage capture and metadata tagging within delivery pipelines using modern tooling.
• Ensure consistent application of metadata standards and lineage tracking across domains.
• Oversee PII and sensitive data classification, labeling, and handling in accordance with data privacy regulations.
• Define and enforce archival and retention policies for domain data assets, ensuring compliance and operational efficiency.

Company Benefits & Culture

• Comprehensive benefits package including health, dental, and vision insurance.
• Supportive and inclusive company culture that values diversity and inclusion.
• Opportunities for professional development and career advancement.

For immediate consideration please click APPLY to begin the screening process.