Offer summary

Qualifications:

Bachelor’s degree in Computer Science, Information Systems, or related field; Master’s preferred., 7-10 years of experience in data architecture roles, ideally in large-scale enterprise environments., Extensive experience with Azure and Snowflake cloud data platforms., Proven expertise in Salesforce ecosystem integrations and architecture..

Key responsibilities:

Design and maintain comprehensive data architecture standards aligned with enterprise business goals.

Lead the evolution of enterprise data strategies focusing on data quality and compliance.

Architect data solutions leveraging various technologies including Azure SQL Server and Snowflake.

Collaborate with teams to implement robust data governance frameworks and oversee Master Data Management strategies.

Job description

Key Responsibilities:

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.

Data Governance, MDM, and Identity Resolution:

Collaborate closely with the Data Governance Lead and team to define and implement robust data governance frameworks, utilizing tools such as Alation for metadata management.
Provide architectural leadership and oversight for Master Data Management (MDM) strategies, ensuring accurate, consistent, and reliable enterprise data across all five data domains.
Architect solutions for Identity Resolution (IDR) to effectively unify identities across multiple platforms and data sources.
Develop and enforce data security and privacy standards in coordination with cybersecurity and compliance teams, especially related to healthcare and financial data.
Cloud and Data Infrastructure Leadership:
Drive cloud migration strategies, ensuring smooth transition and optimized operation of data systems within Azure and Snowflake ecosystems.
Provide architectural guidance on expanding and enhancing transactional data capabilities, ensuring scalability, performance, and reliability.

Analytics and Reporting:

Architect scalable data solutions supporting advanced analytics, business intelligence, and AI-driven capabilities utilizing Power BI and Microsoft Copilot.
Develop data architecture enabling real-time and near-real-time analytics capabilities for operational and strategic insights.

Technical Excellence and Innovation:

Foster innovation in data management, proactively recommending new technologies and methodologies to enhance data architecture effectiveness.
Collaborate closely with engineering, product management, and security teams to ensure technical standards are continuously updated and communicated.

Required Skills and Qualifications:

Bachelor’s degree in Computer Science, Information Systems, or related field; Master’s preferred.
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.

Preferred Qualifications:

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.

Required profile