Lead Data Architect

2 days ago

Austin, Texas, United States Optomi Full time

Job Description:

Optomi, in partnership with a leading financial company, is 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.

Qualifications:

  • 10+ years of experience in data architecture, data engineering, or related fields, with at least 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 (Erwin data modeler preferred), conceptual, logical, physical and metadata management.
  • Experience as a data design authority, setting standards and ensuring architectural alignment across programs.
  • Strong understanding of Wealth Management / Financial Services business processes, data domains (clients, accounts, portfolios, products, transactions), and regulatory data needs.
  • Proficiency in SQL, Python, Spark, and modern ELT/ETL tools.
  • Familiarity with data governance (Alation), lineage, cataloging, and data quality tools.
  • Excellent communication and leadership skills to engage with senior business and technology stakeholders.

Job Responsibilities:

  • Define and own the enterprise data architecture strategy, standards, and patterns across Wealth Management initiatives.
  • 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, to ensure golden records, hierarchies, and reference data integrity.
  • Collaborate with business stakeholders, data engineers, and analysts to translate business requirements into scalable data architecture and data models.
  • Ensure alignment with data governance, security, and compliance frameworks (e.g., FINRA, SEC).
  • Provide technical leadership in data design, ETL/ELT best practices, and performance optimization.
  • Partner with enterprise architects, solution architects, and technology leaders to integrate data architecture with application and cloud strategies.
  • Mentor and guide data engineers and modelers, building a culture of engineering and architecture excellence.

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