<p>Our client is looking for a data warehouse leader in our Data Technology organization. In this role you will lead a team of 12-16 dedicated to pushing the limits of continuous improvement and innovation using data warehousing as a lever. You will be responsible for leading within the Enterprise Data Warehouse for the bank including innovating on the platform to enable next-generation capabilities. You will participate in the definition of the strategic roadmap for data technology and be responsible for executing data warehousing initiatives. You will partner with other Data Technology organizations and CDAO leads to architect and enable an effective data ecosystem as well as key leaders in business and technology to understand and support their needs.</p><p><br></p><p><br></p><p>KKey Responsibilities</p><ul><li>Lead a team of 12-16 resources, providing strategic direction, coaching, and technical oversight.</li><li>Drive agile execution, ensuring consistent velocity, transparency, and stakeholder engagement.</li><li>Execute the EDW technology strategy, ensuring alignment with enterprise goals and segment priorities.</li><li>Participate in demand management and planning, assessing impact, feasibility and estimating work effort.</li><li>Understand and translate the technical design from the Data Architect team into implemented physical data models that meet data governance, enterprise architecture and business requirements for data warehousing. Manage data within the data warehouse to ensure efficiency of platform.</li><li>Work with operational data and data acquisition teams to manage incoming sources and the down-stream systems to understand and support their needs for reporting and analytics.</li><li>Support incident resolution and continuous improvement to drive efficiency across multiple operational run metrics.</li><li>Perform other duties as assigned.</li></ul>
<p>Job Overview:</p><p>The Data Architect will lead the design and implementation of enterprise data systems, ensuring alignment with business needs, data governance, and security standards. This role involves working closely with IT teams, business analysts, and data consumers to deliver scalable and secure data solutions.</p><p>Daily Responsibilities:</p><ul><li>Translate high-level business requirements into data models, metadata, test data, and data quality standards</li><li>Manage senior business stakeholders to ensure project alignment with strategic roadmaps</li><li>Lead peer reviews and quality assurance of architectural artifacts</li><li>Define and manage standards, guidelines, and processes for data quality</li><li>Collaborate with IT and analytics teams to develop data solutions</li><li>Evaluate and recommend emerging technologies for data management and analytics</li><li>Establish governance frameworks for internal teams and vendor partners</li></ul><p>rProject Focus:</p><ul><li>Apply data protection rules across storage, compute, and consumption layers</li><li>Design data protection solutions at database, table, column, and API levels</li><li>Architect data systems including databases, warehouses, and lakes</li><li>Select and implement database management systems with optimized schemas and security</li><li>Enhance data pipeline performance and ensure data governance</li></ul>
