Data Architect

Peyton Resource Group; Dallas (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

Peyton Resource Group is seeking a Data Architect to own the enterprise data architecture, governance, and modeling strategy across Oracle on-premise platforms. You will define standards, manage the Erwin repository, and guide data modelers, DBAs, and engineers through high-complexity architecture decisions.

You will lead efforts for large-scale data volumes, performance tuning, and data governance initiatives while collaborating with business leadership to align data strategy with enterprise

Qualifications

• 10+ years of experience in data architecture, data modeling, or database engineering.
• Deep hands-on expertise with Erwin Data Modeler at enterprise scale.
• Strong expertise in Oracle Database (on-premise) including SQL/PL-SQL and performance tuning.
• Experience modeling large data volumes (GB to multi-TB) and scalable architectures.
• Knowledge of data governance, metadata/lineage, and enterprise standards.
• Ability to translate business strategy into architecture and communicate trade-offs to leadership.

Responsibilities

• Define and own enterprise data architecture strategy and target models.
• Govern Erwin model repository, naming conventions, and versioning at scale.
• Lead modeling reviews for complex cross-functional domains and ensure referential integrity.
• Promote Data Virtualization adoption and architecture across the enterprise.
• Mentor data modelers, ETL developers, and DBAs and collaborate with stakeholders.

Skills

Data modeling

Oracle architecture

SQL/PL-SQL

Data architecture

Stakeholder communication

Leadership mentoring

Regulated environments

Tools

ER/Studio

PowerDesigner

Denodo

PostgreSQL

MongoDB

Job description

We are seeking a Data Architect to own the strategic design and governance of our enterprise data landscape, built on Oracle on-premise database platforms and modeled using Erwin. This role sits above individual project data models: you will define the enterprise-wide data architecture, standards, and target operating model that all data modelers, engineers, and DBAs build against, while personally handling the highest-complexity, highest-volume modeling and architecture decisions across the organization. You will bring proven experience architecting for large-scale data volumes (multi-GB to multi-TB), regulated environments, and the performance, scalability, and integrity demands that come with them. You will also be responsible for assisting in the development and management of Data Governance and Master Data Management solutions. You must be comfortable presenting deep technical concepts to non-technical leadership —strong technical and communication skills, coupled with the ability to provide technical mentorship, are essential.

Key Responsibilities

Data Architecture & Data Strategy Define and own the enterprise data architecture strategy, including target-state data models, subject area models, and reference architectures across the Oracle on-premise estate Establish enterprise-wide data modeling standards, naming conventions, and governance policies within Erwin, ensuring consistent adoption across data modeling and engineering teams Own the enterprise Erwin model repository/mart: subject area organization, model versioning, complex merges, and cross-model consistency at scale Partner with stakeholders (application teams, enterprise architecture, business unit leaders) to translate business strategy into a coherent, long-term data architecture roadmap Evaluate and architect for scalability, performance, and maintainability of Oracle databases handling large data volumes (GB to multi-TB scale), including partitioning, indexing, and storage strategy at the architectural level Assist in promoting the Data Architecture function to increase adoption of Data Virtualization (Denodo) across the enterprise Data Modeling & Design Oversight Design and review conceptual, logical, and physical data models for the most complex, cross-functional, and high-volume domains in the enterprise Provide architectural review and approval of data models produced by senior/staff data modelers, ensuring alignment with enterprise standards, referential integrity, and downstream performance implications Lead reverse-engineering and rationalization efforts for large, legacy Oracle schemas, consolidating and simplifying where architecturally sound Guide both OLTP/3NF and dimensional (star/snowflake) modeling approaches, selecting the right pattern for transactional, operational, and analytical workloads Governance, Performance & Risk Assist in enriching enterprise data governance artifacts tied to the architecture: business glossary, data lineage, metadata repository, and data dictionary standards Lead capacity planning and performance architecture for large Oracle databases, anticipating growth in data volume and ensuring the model and physical design scale accordingly Assess and mitigate architectural risk in schema changes at enterprise scale, including impact analysis across integrated systems Ensure data architecture practices meet regulatory, security, and compliance requirements applicable to the industry Establish policies, procedures, and guidelines regarding all aspects of Data Governance Master Data Management Assist in establishing policies, procedures, and guidelines regarding all aspects of Master Data Management Ensure architectural rules and design of the MDM process are documented and best practices adhered to Develop a strategic roadmap for MDM and assist in its implementation Leadership & Collaboration Mentor and provide technical direction to data modelers, ETL developers, and DBAs on modeling best practices, Erwin usage, and Oracle architecture patterns Act as the primary architectural liaison between business stakeholders, application teams, DBAs, and infrastructure teams Present architecture decisions, trade-offs, and roadmaps to senior leadership and non-technical stakeholders Provide mentorship to Data Analysts to ensure data management and design best practices are adhered to Collaborate with support teams to ensure consistent, proactive support methodologies are in place for all aspects of data movement and transformation

Required Qualifications

10+ years of experience in data architecture, data modeling, or database engineering, including prior experience as a senior/lead data modeler, solution architect, or data architect Deep, hands-on expertise with Erwin Data Modeler at enterprise scale (model mart, subject areas, complex compare/merge, versioning across large teams) Strong expertise in Oracle Database (on-premise), including advanced SQL/PL-SQL, schema design, partitioning, indexing strategy, and performance tuning at the architectural level Demonstrated experience architecting and modeling for large data volumes (GB to multi-TB scale) with a track record of designs that scaled successfully in production Strong command of data modeling theory (normalization/denormalization, cardinality, keys, referential integrity) and dimensional modeling (star/snowflake) for analytics Experience defining enterprise data standards, governance frameworks, and metadata/lineage practices Extensive working knowledge of all aspects of data movement and processing, including middleware, ETL, API, OLAP, and best practices for data tracking Proven ability to operate at the intersection of technical architecture and executive stakeholder management —translating business strategy into data architecture and communicating trade-offs to leadership Strong written and verbal communication skills, with experience producing architecture documentation, ER diagrams, and data dictionaries for both technical and business audiences

Preferred Qualifications

Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance obligations Experience leading or mentoring a team of data modelers/architects Previous experience with PostgreSQL and MongoDB a big plus Familiarity with complementary data modeling tools such as ER/Studio, PowerDesigner, Collibra, Alation Exposure to hybrid on-prem/cloud data strategies, even where the primary platform remains Oracle on-premise Experience with Target Operating Model (TOM) design for data functions Relevant certifications (OCI, DAMA, CDMP, etc.) a plus Experience with Hadoop/MongoDB a plus Working experience with Denodo a plus

Team Culture

Our team is fast-paced, fun, highly energetic, motivated, and hardworking. We expect candidates to integrate into our results-driven, solution-oriented culture from the get-go. Our team attains high-quality results on challenging projects, driven by the belief that outcomes are linked to effort rather than chance, and a tendency to set challenging yet realistic goals.