Project Role : Modernization Engineer Project Role Description : Build and test agile and cost effective hosting solutions. Implement scalable, high performance hosting solutions that meet the need of todays corporate and digital applications using both private and public cloud technologies. Develop and deliver legacy infrastructure transformation and migration to drive next-generation business outcomes. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. The person should be able to own the enterprise Data Vault architecture across multiple domains or an entire program. Should be able to set modeling standards, arbitrate cross-domain design conflicts, and is the technical authority client stakeholders and delivery teams escalate to. This would be a mix of architecture-and-governance role along with hands-on table design. Roles & Responsibilities: - Define and own the enterprise Data Vault 2.0 modeling standards, naming conventions, and governance framework across the program - Architect the Raw Vault / Business Vault / Information Mart layering strategy for the full platform, not a single domain - Make and defend cross-domain design tradeoffs (e.g., same-as links vs. hierarchical links, satellite splitting strategy, driving keys for multi-active satellites) - Own capacity/performance architecture decisions — clustering keys, micro-partitioning strategy (Snowflake-specific), load parallelization - Lead technical reviews and sign off on modeling decisions made by senior modelers - Interface directly with client architects, data governance leads, and executive stakeholders on modeling strategy - Mentor and technically direct a team of 3–8 senior/mid-level modelers - Own the data model roadmap in alignment with migration/modernization program milestones (e.g., legacy-to-cloud lineage, COBOL/mainframe source integration) - Drive automation strategy for DV pattern generation to reduce manual build effort at scale Professional & Technical Skills: - Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. - Must To Have Skills: Proven track record owning DV architecture for at least one large, multi-year program (not just project delivery) - Deep expertise in Snowflake (or equivalent) internals relevant to DV performance — this needs to be genuine architecture depth, not tool familiarity - Strong stakeholder management experience — this role is client-facing by design - Experience integrating legacy/mainframe sources (COBOL, JCL, copybooks) into modern DV models is a strong differentiator, not just a nice-to-have, if this is for a banking modernization context - Experience with regulatory/compliance-heavy domains (banking, insurance) strongly preferred - Exposure to automation tools for DV generation (Where Scape, Vault Speed, biG ENIUS) is a plus. Additional Information: - The candidate must have minimum 14 years of experience in Data Modeling Techniques and Methodologies, with 6+ years specifically architecting (not just building) Data Vault 2.0 models at enterprise scale - A 15 year full-time education is required. 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com  Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.