Corporate Technology Lead Data Architect

Salary: $61, per year

• At least 7 years of experience in data architecture, information architecture, or enterprise data design, including hands‑on work defining standards and data models.
• Demonstrated ability to design conceptual, logical, and physical data models and canonical information architectures; proficiency with one or more modeling tools such as ER/Studio, ERwin, Archi Mate, or UML.
• A track record of implementing data governance processes at scale, including policies, standards, controls, metrics, and evidence.
• Practical knowledge of metadata management, data lineage, data quality frameworks, and cataloging solutions.
• Experience working with Chief Data Office and technology stakeholders and influencing without direct authority in a matrixed environment.
• Strong understanding of data risk management, regulatory drivers, and controls such as data classification, tiering, retention, and localization.
• Excellent communication skills, including the ability to turn business requirements into data designs and governance solutions.
• Familiarity with Data Mesh principles and data product practices is preferred.
• Experience with cloud data platforms and lakehouse technologies, such as AWS, GCP, Snowflake, Databricks, Delta, or Iceberg, and with implementing governance and controls in those environments is preferred.
• Hands-on exposure to lineage, data quality, and automation tools such as Open Lineage, Great Expectations, Soda, Monte Carlo, Collibra, or Alation is preferred.
• Understanding of Fin Ops and cost‑aware data design, including storage classes, partitioning, and lifecycle policies, is preferred.
• Prior involvement in audit, cyber, and control reviews, including organizing evidence and remediation plans, is preferred.

• Establish, develop, and maintain standards for organizing digital content and data to improve usability and operational efficiency, support consistent platform adoption, and ensure traceability from business concepts through implementation.
• Create conceptual, logical, and physical data models that align with business objectives.
• Work with and influence Chief Data Office, engineering, and business partners to align information flows and canonical models for interoperability and reuse.
• Help create high‑quality data products aligned with our Corporate Technology Data Mesh Strategy and Corporate Technology OKRs.
• Represent the team in Corporate Technology Information Architecture forums, contributing patterns, reference models, and guidance for broader adoption.
• Participate in architecture, governance, and data governance working groups to address challenges, resolve design issues, and evolve standards and practices.
• Mentor and support architects and developers in data modeling, lineage, quality, metadata, and standards.
• Design and implement data governance processes and solutions that support compliance with firmwide and line‑of‑business data risk policies and standards.
• Identify and implement automation for data controls to reduce manual work and strengthen preventative and detective measures.
• Partner with the Chief Data Office to interpret and operationalize governance requirements for corporate functions and application owners.
• Monitor and communicate data risk metrics, including FDRM metrics, to senior stakeholders; work with application teams to remediate control gaps and coordinate communications and change management around governance obligations and delivery timelines.
• Develop and promote practices for data tiering, lineage, quality, retention, destruction, and localization, and incorporate them into design reviews.
• Advise cross‑functional teams on data architecture that meets governance and regulatory requirements while maintaining scalability and cost…