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Tier-1 brand, metro location, and broad technical requirements raise competition.
Snowflake data engineering is transferable, but Salesforce and financial-reconciliation requirements add moderate industry specificity.
Mandatory 10+ years, required Snowflake expertise, and solution-architect responsibilities make screening highly strict.
Lead design, development, and implementation of data architecture and Snowflake-based data transformation pipelines ensuring data quality and performance.
Design and optimize Data Warehouse and Business Intelligence architectures to support analytics and reporting needs, including implementing BI tools like Tableau and Power BI.
Provide technical leadership and mentorship to data engineers and analysts; collaborate with cross-functional teams to translate business requirements into data models.
5 to 10 years of experience in data architecture, data engineering, or related field; specifically minimum 10 years mentioned under qualifications.
Proven expertise in Snowflake, data transformation processes, and Data Warehouse and BI architecture.
Experience with Salesforce and CPQ data, including understanding financial bookings and revenue reports.
Bachelor’s or master’s degree in computer science, IT, or related field.
Experienced in leading technical teams and driving data architecture solutions in fast-paced environments with strong problem-solving skills.
Deep expertise in Snowflake and BI tools integration, plus proficiency in Salesforce data architecture and financial data reconciliation.
Ability to work cross-functionally, translating business needs into technical specifications and maintaining best practices in data governance and security.