Data Architect - (Banking Client Experience Required)

Overview

On Site
Depends on Experience
Full Time

Skills

Azure
Fabric
Synapse
Data Architect

Job Details

Job Summary

We are seeking an experienced Data Architect to lead and support large-scale banking data modernization initiatives. The role focuses on designing cloud-native data platforms on Microsoft Azure, modernizing legacy data ecosystems, and enabling scalable analytics and regulatory reporting. The architect will work closely with business stakeholders, data engineers, and platform teams to define target-state architectures and guide implementation.

Key Responsibilities

  • Lead end-to-end data architecture design for banking data modernization programs, including migration from legacy data warehouses and on-prem systems to Azure

  • Define target-state data architecture leveraging Azure Fabric, Azure Synapse Analytics, Azure Data Factory (ADF), and modern ETL/ELT patterns

  • Design scalable data ingestion, transformation, and orchestration frameworks using ADF and Fabric pipelines

  • Establish ETL/ELT standards, data modeling approaches (dimensional, data vault), and best practices for performance and scalability

  • Architect enterprise data platforms supporting risk, finance, regulatory reporting, and analytics use cases

  • Partner with data engineering teams to guide implementation, code reviews, and performance tuning

  • Define and enforce data governance, lineage, metadata management, and data quality standards

  • Collaborate with security teams to ensure compliance with banking regulations, data privacy, and access control requirements

  • Provide architectural oversight during solution delivery, ensuring alignment with enterprise standards

  • Mentor and guide junior architects and data engineers

Required Skills & Experience

  • 10+ years of experience in data architecture, data engineering, or analytics platforms

  • Strong experience in banking or financial services data environments

  • Hands-on expertise with:

    • Azure Fabric

    • Azure Data Factory (ADF)

    • Azure Synapse Analytics

    • Cloud-based ETL/ELT architectures

  • Deep understanding of data warehousing concepts, data modeling, and analytics architecture

  • Experience modernizing legacy data platforms (Teradata, Oracle, Netezza, SQL Server, etc.)

  • Strong knowledge of SQL, data integration patterns, and performance optimization

  • Familiarity with regulatory reporting, risk data, and financial data domains

  • Ability to translate business requirements into scalable technical architectures

  • Excellent communication and stakeholder management skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.