Data Integration lead

Job Description

<p>We're looking for a highly experienced <b>Senior Azure Data Engineer</b> to join our team and contribute to the next phase of enterprise data modernization. This role focuses on <b>cloud-native engineering</b>, <b>data modeling</b>, and <b>building scalable data products</b> using the Microsoft Azure ecosystem.</p><p>You will design and deliver solutions that power analytics, reporting, regulatory needs, and long-term data product strategies-particularly within <b>US Wealth</b> data domains.</p><p><br></p><p>Core Skills:</p><p><b>12+ years</b> in Data Engineering, Data Warehousing, and ETL development</p><p>Strong hands-on experience with:</p><ul><li><b>Azure Cloud Services</b> (Data Lake, Synapse, ADF, Key Vault, Storage)</li><li><b>Azure Databricks</b> (Notebooks, Clusters, Delta, Lakehouse)</li><li><b>PySpark & Python</b> for large-scale data pipelines</li><li><b>SQL</b> for transformations, optimization, and performance tuning</li><li><b>Unix/Linux</b> for scripting and operations</li></ul><p>Proven ability to build <b>complex ETL pipelines</b>, optimize performance, and convert legacy codebases into modern cloud-native architectures</p><p><br></p><p><b>Data Modeling & Architecture:</b></p><p>Experience building <b>Conceptual, Logical, and Physical Data Models</b> within Azure</p><p>Ability to translate business logic into clear <b>Source-to-Target Mappings (STTM)</b></p><p>Strong understanding of <b>data product design</b>, metadata, lineage, and reusable models</p><p>Experience supporting <b>Data Product strategies</b> for US Wealth or similar financial domains (bonus)</p><p>Experience with <b>CI/CD pipelines</b> for data workloads</p><p>Strong proficiency with <b>Jira</b> and <b>Confluence</b> for Agile delivery</p><p>Ability to create <b>technical specification documents</b>, design flows, and development standards</p><p>Ability to mentor junior engineers and contribute to engineering best practices</p><p><br></p><p>Good to have:</p><p>Relevant certifications (Azure Data Engineer, Databricks, DP-203, etc.)</p><p>Financial Services background in:</p><ul><li><b>Risk & Regulatory Data</b></li><li><b>Credit Cards / Retail Banking</b></li><li><b>Commercial or Wealth Data Platforms</b></li></ul><p><br></p><p>What you will do:</p><ul><li>Design, build, and maintain end-to-end <b>Azure-based data pipelines</b></li><li>Develop optimized <b>Databricks & PySpark workloads</b> for batch and near-real-time processing</li><li>Perform code conversion and modernization as part of cloud transformation initiatives</li><li>Build and maintain scalable <b>data models</b> supporting analytics and data product use cases</li><li>Work closely with cross-functional teams-architecture, product, engineering, and QA</li><li>Ensure high standards of data quality, lineage, governance, and performance</li></ul><p><br></p>