Architect / Data Engineer - Hybrid

Genesis10 is currently seeking an Architect / Data Engineer for a hybrid position (3 days onsite per week required) with a Global Financial Institution located in Chandler, AZ. This is a 12+ month contract opportunity. This role is responsible for leading the design, governance, and improvement of data and knowledge foundations that support AI and agentic capabilities across Network Services. The ideal candidate will work with both structured and unstructured data sources to ensure information is defined, organized, and governed for trusted AI consumption, partnering with subject matter experts to translate high-quality data into reusable AI-ready assets. Responsibilities: Lead the design and improvement of data and knowledge assets that support AI and agentic use-cases across Network Services, including both structured and unstructured sources Define and maintain standards for how documentation, configurations, telemetry, metadata, policies, standards, and operational knowledge should be organized, governed, and prepared for AI consumption Partner with product and service subject matter experts to understand network technologies, operational context, and domain-specific knowledge required to improve model grounding and decision quality Design and guide scalable methods for storing, governing, indexing, validating, and retrieving context assets needed for AI-enabled workflows and solutions Establish and evolve preventative and detective controls that identify and reduce data quality, metadata quality, knowledge quality, lineage, and freshness issues before they affect downstream AI use Lead remediation efforts for material data and knowledge quality issues by identifying upstream root causes, defining corrective actions, and improving reliability of source processes and assets Define expectations for ownership, stewardship, lineage, freshness, governance, and control accountability across relevant data and knowledge domains Build or guide the development of pipelines, transformations, validation routines, metadata structures, and supporting services that improve the quality and accessibility of AI-relevant context assets Create and improve reusable templates, patterns, and guidance for documentation, knowledge artifacts, metadata practices, and context management standards Work across engineering, architecture, operations, and governance teams to ensure data and knowledge practices align with enterprise controls, delivery needs, and approved standards Monitor and communicate the health, readiness, and quality of AI-relevant data and knowledge assets, including control gaps, remediation priorities, and material risks to trusted model consumption Requirements: Strong experience engineering and governing both structured and unstructured data used for analytics, automation, search, or AI-enabled solutions Advanced understanding of data modeling, transformation, storage, indexing, retrieval, and metadata management patterns needed to support scalable and governed data and knowledge pipelines Demonstrated ability to define enterprise-ready standards for how data, documents, knowledge artifacts, metadata, and operational context should be structured and prepared for AI consumption Experience establishing and improving data quality, metadata quality, and knowledge quality controls that increase trust, consistency, completeness, freshness, and usability of context assets Strong knowledge of preventative and detective controls used to identify, prevent, and remediate issues related to data quality, metadata quality, documentation quality, and knowledge management practices Experience working with knowledge sources such as policies, standards, configurations, telemetry, runbooks, architecture artifacts, and operational documentation Ability to work closely with product and service subject matter experts to interpret network operational knowledge and translate it into reusable, governed data and knowledge assets Strong working understanding of network technologies, infrastructure concepts, and service models sufficient to shape AI-ready context in partnership with technical domain experts Experience defining data ownership, stewardship, lineage, freshness, governance, and usage expectations in a regulated enterprise environment Familiarity with AI-oriented data and knowledge preparation concepts, including grounding, retrieval-readiness, context structuring, metadata enrichment, and content fitness for model use Ability to design scalable approaches for storing, governing, indexing, validating, and retrieving contextual assets used by AI-enabled workflows and solutions Strong analytical and problem-solving skills, including the ability to identify upstream causes of context quality issues and drive sustainable remediation across source processes and systems Experience leading or influencing cross-functional work across engineering, architecture, operations, governance, and business stakeholders to align data and knowledge practices to enterprise standards Experience mentoring less senior engineers or contributors and helping promote stronger engineering, control, and governance practices across a team or domain Strong written and verbal communication skills with the ability to document standards, controls, definitions, patterns, and usage guidance clearly for technical and non-technical audiences Experience working in a fast-paced and complex environment with evolving priorities, incomplete source data, and cross-functional dependencies Strong organizational discipline, technical judgment, and attention to detail in support of trusted, scalable, and production-grade data and knowledge practices Desired skills: Mentor less senior engineers and contributors on data engineering, knowledge engineering, control design, and context management practices to improve consistency and capability across the pillar Contribute to continuous improvement of data and knowledge management practices that strengthen trust, reuse, traceability, and operational supportability of AI context across the organization Document standards, definitions, controls, transformations, and usage considerations so that downstream teams can reliably consume, govern, and support resulting data and knowledge assets Pay range: $60.24 - $68.24 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Genesis10