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Strong Tier-1 brand, metro location, and popular Data Engineer title increase candidate competition.
Core data engineering skills are transferable but Salesforce/CPQ and advisory specifics increase domain bias.
Explicit 10-year minimum plus mandatory Snowflake, data-architecture, and BI skills make filters strict.
Lead the design, development, and implementation of data architecture and solutions with focus on Snowflake and data warehousing.
Manage and optimize data transformation processes within Snowflake ensuring data integrity, quality, and performance; design and enhance DWH and BI architectures supporting analytics and reporting.
Provide technical leadership and mentorship to data engineers and analysts; collaborate cross-functionally on business requirements into technical specifications and data models.
5 to 10 years of experience in data architecture, data engineering, or a related field with proven expertise in Snowflake and data transformation.
Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
Experience with Salesforce & CPQ data and architecture, strong background in DWH and BI architecture, and proficiency with BI tools such as Tableau, Power BI, Sigma Computing.
Work Experience Required: Minimum 10 years experience mentioned specifically in some parts; elsewhere 5 to 10 years – candidate should meet or exceed 5 years in related roles. Notice period: Not explicitly mentioned.
Experienced in managing and mentoring technical teams delivering data solutions in Snowflake and BI environments.
Strong domain knowledge in financial bookings and revenue reporting related to Salesforce data and data warehousing.
Ability to lead design and implementation of complex data architectures and collaborate with various stakeholders to translate business needs into data solutions.