Senior Azure Data Engineer

Overview

We are seeking a Lead Data Architect to drive the design and implementation of our enterprise data architecture with a focus on Azure Data Lake, Databricks, and Lakehouse architecture
. This role will serve as the data design authority, ensuring alignment with enterprise standards while enabling business value through scalable, high-quality data solutions.

The ideal candidate will have a proven track record in financial services or wealth management
, deep expertise in data modeling and MDM (e.g., Profisee), and experience architecting cloud-native data platforms that support analytics, AI/ML, and regulatory/compliance requirements.

• Define and own the enterprise data architecture strategy, standards, and patterns.
• Lead the design and implementation of Azure-based Lakehouse architecture leveraging Azure Data Lake, Databricks, Delta Lake, and related services.
• Serve as the data design authority
  , governing data models, integration patterns, metadata management, and data quality standards.
• Architect and implement Master Data Management (MDM) solutions, preferably with Profisee.
• Collaborate with stakeholders, engineers, and analysts to translate business requirements into scalable architecture and data models.
• Ensure alignment with data governance, security, and compliance frameworks.
• Provide technical leadership in data design, ETL/ELT best practices, and performance optimization
  .
• Partner with enterprise and solution architects to integrate data architecture with application and cloud strategies.
• Mentor and guide data engineers and modelers, fostering a culture of engineering and architecture excellence.

• 10+ years of experience in data architecture, data engineering, or related fields
  , with 5+ years in a lead/architect capacity.
• Strong expertise in Azure Data Lake, Databricks, Delta Lake, and Lakehouse architecture
  .
• Hands-on experience architecting and implementing MDM solutions (Profisee strongly preferred).
• Deep knowledge of data modeling (conceptual, logical, physical) and metadata management.
• Experience as a data design authority across enterprise programs.
• Strong understanding of financial services data domains (clients, accounts, portfolios, products, transactions) and regulatory needs.
• Proficiency in SQL, Python, Spark
  , and modern ELT/ETL tools.
• Familiarity with data governance, lineage, cataloging, and data quality tools
  .
• Excellent communication and leadership skills to engage with senior business and technology stakeholders.

• Experience with real-time data streaming (Kafka, Event Hub).
• Exposure to BI/Analytics platforms (Power BI, Tableau) integrated with Lakehouse.
• Knowledge of data security and privacy frameworks in financial services.
• Comprehensive health, vision, and dental coverage
  .
• 401(k) plans plus a variety of voluntary plans such as legal services, insurance, and more.

👉 If you’re a data architecture leader who thrives on building scalable, cloud-native data platforms and want to make an impact in financial services, we’d love to connect.