Data Engineer building scalable Python, PySpark, SQL, and Snowflake pipelines. Integrating REST APIs and external data into cloud - based data platforms.
About the role
- Salesforce Senior Technical Architect enabling Data 360 customer transformations. Designing data integrations, advising customers, and expanding Salesforce Professional Services engagements.
Responsibilities
- Serve as a Subject Matter Expert for Data 360 internally and with customers
- Act as a strategic advisor helping customers unlock data from various enterprise systems
- Help achieve or exceed customer goals and metrics while providing Data 360 best-practice insights
- Deliver high client satisfaction scores by ensuring value is realized through each engagement
- Manage multiple strategic clients simultaneously to meet or exceed utilization targets
- Build a reputation as a trusted advisor among customers and the Data 360 community
- Collaborate with the Go-to-Market team to drive services growth and account expansion
- Maintain expertise in the evolving product roadmap and broader data platform landscape through continuous self-directed learning
- Deliver complex technical solutions meeting customer business and technical requirements
- Lead evaluation and presentation of solution options and customer education
- Identify and proactively manage risks through complete issue resolution
- Assess and shape customers’ technical landscapes
- Partner with account and delivery leadership to identify and grow new business
- Support Professional Services talent development through knowledge sharing, reusable assets, best practices, and cross-functional collaboration
Requirements
- Relevant Salesforce Data 360 experience or equivalent Customer Data Platform experience, such as Adobe AEP, Tealium AudienceStream, Segment, ActionIQ, or Treasure Data
- Relevant Salesforce experience in Sales & Service Cloud and Marketing Cloud
- Data warehouse experience preferred, such as Snowflake, Databricks, Redshift, BigQuery, SQL Server, or Adobe marketing databases
- Experience with data management, data transformation, and ETL, preferably using cloud-based tools/infrastructure
- Data architecture skills including data profiling, data quality analysis, MDMs, and fuzzy matching conventions a plus
- Ability to communicate complex business and technical concepts using visualization and modeling aids
- Ability to conceptualize and create sophisticated diagrams and documents
- Strong aptitude to learn new technologies quickly and thoroughly
- Expertise in information gathering and analysis related to data integration, subscriber management, and identity resolution
- Experience with AI-related data integration technologies and concepts, including RAG, vector databases, search indexes, and knowledge bases, is a plus
- Ability to influence group audiences, facilitate solutions, lead discussions, and conduct executive-level requirement-gathering sessions and solution presentations
- Knowledge of Data Governance and Data Privacy concepts and regulations is a plus
- BA/BS degree or foreign equivalent
- Willingness to travel when needed, expected to be less than 50%
- Passion for Customer Success
- Ability to work independently and be a self-starter
- Strong relationship-building, collaboration, communication, presentation, adaptability, and leadership qualities
Benefits
- Company bonus
- Equity
- Benefits
- Reasonable accommodation during the application or recruiting process
- AI agents and resources intended to support balance and well-being
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