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