Lead Data Architect

Your Job

As a Lead Data Architect, you will be a key individual contributor responsible for shaping the future of our enterprise data landscape.

Sitting within the Data Management organization, this role will provide hands-on data architecture support for high-value initiatives, ensuring our data assets are designed, structured, and governed for long-term scalability, quality, and usability.

The Data Architect will work closely with Data Governance, Data Quality, the Data Platform team, and solution architects to define and deliver data models that align with enterprise standards while meeting business needs.

Who You Are:


* Detail-Oriented: You have a keen eye for detail and a passion for ensuring data is managed, governed, and utilized to its fullest potential.


* Proactive Communicator: You can effectively communicate complex technical concepts to non-technical stakeholders, ensuring buy-in and understanding.


* Collaborative: You work well with others, enjoy cross-functional teamwork, and build strong relationships with stakeholders at all levels of the organization.


* Continuous Learner: You are committed to staying up to date with the latest trends, tools, and best practices in data quality, governance, and analytics.


* Problem Solver: You thrive in tackling complex problems, from platform issues to organizational change management, and you have the ability to come up with creative solutions.

What You Will Do

Hands-On Data Modeling & Architecture Design


* Develop and own logical and physical data models across key domains, ensuring consistency, scalability, and alignment with enterprise standards.


* Translate business requirements into conceptual, logical, and physical data structures.


* Guide delivery teams on best practices for data modeling, schema design, and data lineage.


* Review and refactor existing models where needed to optimize performance, clarity, and alignment with future-state patterns.

High-Value Initiative Support


* Act as the dedicated Data Architect for priority enterprise initiatives - those representing significant investment, complexity, or cross-domain impact.


* Provide architectural oversight from discovery through deployment.


* Ensure data design decisions reduce long-term technical debt and support enterprise data reuse.

Partnership With Delivery Teams


* Collaborate with data engineers, analytics developers, BI teams, and product owners to ensure the implementation aligns with intended architecture.


* Create clear handoffs, reusable patterns, and model documentation to streamline delivery execution.


* Serve as a subject matter expert for modeling tools, naming conventions, structures, and data best practices.

Standards, Frameworks & Reuse


* Work closely with the Data Governance team to evolve standards for data products, metadata, documentation, and modeling conventions.


* Help mature enterprise frameworks for data domain de...