Staff Data Architect

Responsibilities

• Optimizing overall data/information flow by reducing redundancy and enabling accessibility within security boundaries.
• Technical Standards and Governance: Establishing and maintaining enterprise-wide technical standards, guidelines, and best practices for software development, quality, and infrastructure.
• Ensuring compliance with these standards across all programs and projects.
• Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice.
• Designing scalable, reliable, and secure architecture solutions that align with business goals and technical requirements.
• Conducting architecture reviews and providing guidance to ensure alignment with enterprise standards.
• Leveraging expertise in software development, quality engineering, and infrastructure engineering to provide holistic architectural solutions.
• Ensuring seamless integration of development, quality, and infrastructure components.
• Collaborating with development, quality, and infrastructure teams to ensure alignment with enterprise architecture standards.
• Facilitating communication and knowledge sharing across teams and departments.
• Promoting a culture of continuous improvement by identifying opportunities to enhance technical standards and practices.
• Staying up to date with industry trends and emerging technologies to ensure the enterprise remains competitive.
• Designing solutions that ensure high performance, scalability, and reliability.
• Conducting performance assessments and optimizations to meet enterprise requirements.
• Ensuring that all architectural solutions include robust backup and recovery mechanisms.
• Ensuring that documentation is accessible and up to date for all stakeholders.
• Manage relationships with technology vendors and ensure that tools and services meet enterprise standards.
• Evaluating and integrating third-party solutions as needed.
• Providing high-level support for incident management and troubleshooting complex technical issues.
• Conducting root cause analysis and implementing preventive measures.
• Conducting capacity planning ensures enterprise architecture can handle current and future workloads.
• Managing resources effectively to support enterprise-wide initiatives.

Preferred

• Computer Science, Computer Engineering, Information Systems, Quantitative or Engineering Field preferred.
• TOGAF, Cloud (AWS or GCP), Security, SAP, SAFe.

Job Details

The Staff Enterprise Data Architect develops standards, tools, and governance for capturing, modeling, storing, and delivering data for the enterprise, including: Identifying data-related business requirements and service standards (e.g., transaction processing speed, data mining and reporting capabilities, data security, scalability, etc.). Developing a high-level enterprise data model and conceptual views of related data sub-architectures (e.g., database, data integration, data warehouse/business intelligence, reporting, metadata, and content management architectures).

Staff Architects in Enterprise Data Architecture oversee one or more Data Engineering Disciplines. Interpret enterprise data architecture, governance standards, and platform direction (BigQuery, Palantir Foundry, Workday/SAP ecosystem) and translate them into a concrete data strategy and roadmap for HR & Payroll. Design and guide data models, pipelines, and integration patterns connecting HCM/Payroll systems to the enterprise data lake/warehouse. Stay hands-on with SQL, data modeling, and pipeline/ETL work- able to dig into complex data problems alongside the team, not just review their output. Serve as the domain's data quality and governance owner: data lineage, validation, metadata/cataloging (e.g., Collibra), and compliance with data privacy requirements for HR data. Manage, coach, and grow a data team based in India: day-to-day leadership, performance management, career development, and acting as the trusted on-the-ground manager for a remote-from-HQ team. Partner with HR/Payroll business stakeholders to turn ambiguous business questions into data requirements and analytics-ready solutions. Act as a bridge between enterprise architecture/IT leadership and the HR/Payroll domain- representing domain needs upward, and enterprise standards downward.

Technology Evaluation and Selection

Evaluating and selecting appropriate technologies, tools, and platforms aligned with enterprise standards and business needs. Conducting proof-of-concept (PoC) projects to validate technology choices.

Security and Compliance

Ensuring that security best practices are integrated into all aspects of the enterprise architecture. Maintaining compliance with industry standards, regulations, and internal policies.

Quality Assurance and Testing

Ensuring that automated testing, continuous integration, and continuous deployment (CI/CD) practices are consistently applied.

Documentation and Knowledge Management

Creating and maintaining comprehensive architectural documentation, including diagrams, standards, and guidelines.

Training and Mentorship

Providing training and mentorship to technical teams to ensure adherence to enterprise standards. Supporting professional development and knowledge sharing within the organization.

Qualifications

Education: Bachelor's Degree or relevant experience.

Experience

7+ years of relevant and practical experience.

Special Skills Required

Deep technical expertise in one or more areas of focus, e.g., Data Engineering, Data Modeling, Data Platforms. The ability to explain highly technical conc epts to non-technical team members and leaders. Self-driven ability to vet new technical patterns, influence decision-makers, and establish those patterns as new technical standards.

Relocation Assistance Eligible

No Work Shift: The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation. Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.