Lead Data Architect

Requirements:

Minimum of 7-10 years of experience in data architecture roles, ideally within large-scale enterprise environments.

Extensive experience with cloud data platforms, specifically Azure and Snowflake.

Proven expertise in Salesforce ecosystem integrations and architecture, including Salesforce Data Cloud.

Experience implementing and governing data architecture strategies using platforms like Alation and DBT.

Demonstrated experience with Master Data Management (MDM), Identity Resolution (IDR), and data quality initiatives.

Demonstrated capability to lead cross-functional teams, influence senior leadership, and articulate complex data strategies clearly and persuasively.

Experience with automotive industry software or related SaaS-based solutions.

Professional certifications in Azure (Azure Solutions Architect), Salesforce, or related data governance and analytics platforms.

Familiarity with agile methodologies and DevOps practices, including experience with tools such as Harness.io and GitHub.

Strategic Architecture Development:

Design and maintain comprehensive data architecture standards, principles, and models aligned with enterprise business goals across Customer, Products, Employees, Vendors, and Assets domains. Lead the evolution and enforcement of enterprise data strategies, emphasizing data quality, integration, master data management, identity resolution, security, and compliance.

Platform Expertise:

Architect data solutions leveraging Azure SQL Server and Data Fabric, Snowflake, DBT, Salesforce Data Cloud, and related data technologies. Optimize integration and interoperability between Salesforce clouds (Sales, Billing and Revenue, Service, Marketing, and Experience Clouds) and core data management platforms