Data Architect

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Snowflake Data Warehouse Good to have skills : Data Architecture Principles, Data Modeling Techniques and Methodologies Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education

Snowflake Data Architect

ROLE OVERVIEW The Commercial Data Architect owns the end-to-end data architecture that powers commercial reporting across the global GTM organization. This role is the single source of truth for how data flows from source systems into trusted, governed, self-serve analytics — enabling leadership to make high-stakes decisions with confidence. Nothing above this layer works without this foundation. THE OBJECTIVE Design, build, and maintain the commercial data model, Snowflake connectivity, and governed reporting layer that the business depends on. Ensure data quality, semantic consistency, and platform reliability at scale. KEY RESPONSIBILITIES Define and own the target-state commercial data model spanning Salesforce, Snowflake, and Microsoft Fabric Build and maintain a semantic model / data cube that delivers consistent, self-serve commercial metrics across regions Manage governed connectivity to the Snowflake instance and curate trusted business views Establish and enforce data quality standards, monitoring, and remediation protocols for all commercial data Consolidate fragmented hand-built extracts into a single governed reporting layer Partner with Revenue Operations, Finance, and Sales leadership to align on metric definitions and reporting needs Document data lineage, transformation logic, and governance policies for auditability Evaluate and recommend tooling improvements across the data platform stack SKILLS & EXPERIENCE REQUIRED 7–10 years of experience in dimensional and semantic data modeling Expert-level proficiency with Snowflake (architecture, performance tuning, access control) Hands-on experience with Microsoft Fabric and Power BI Strong SQL skills including pipeline design, CTEs, and performance optimization Experience with Salesforce as a data source (SFDC data model, APIs, Bulk API) Proficiency in data governance frameworks and data quality tooling Architect-level thinking with a builder's mindset — you ship working solutions Ability to communicate complex data architecture decisions to non-technical stakeholders NICE TO HAVE Experience with dbt (data build tool) for transformation layer management Background in commercial or revenue analytics (ARR, pipeline, quota attainment) Familiarity with Agentforce or Salesforce Data Cloud

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.

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