The Giant Bullseye
Job Description
Job Description
Position Overview We are seeking a technically-driven Principal Engineer with deep expertise in Salesforce Data Cloud and Snowflake federation. You will architect advanced data integrations, design scalable models, and create reusable frameworks for enterprise deployments across cloud-native ecosystems. Key Responsibilities Architect federated data models integrating Salesforce Data Cloud with Snowflake, enabling real-time, unified data access without replication.
Design and implement secure, efficient federation pipelines—including live-query (zero-copy) and stream-based approaches.
Guide technical engagements from discovery through solution delivery, liaising with executive-level stakeholders.
Create high-impact deliverables such as architectural templates, deployment guides, and enablement tools to support field teams.
Provide subject-matter expertise in data governance, CRM integration, and analytics synergy.
Required Qualifications 8+ years of experience in data
architecture/engineering,
with proficiency in cloud-native platforms and advanced modeling techniques.
Demonstrated track record integrating Salesforce Data Cloud with Snowflake (or similar platforms) using federated strategies.
Hands-on experience building both real-time and streaming data pipelines across enterprise systems.
Exceptional communication skills, including experience advising senior leadership and guiding solution adoption.
Preferred Qualifications Familiarity with broader cloud ecosystems such as Databricks, BigQuery, Redshift, and BI tools (e.g., Tableau, Power BI).
Skilled in Python, SQL, and data engineering tools (e.g., Jupyter notebooks, pandas).
Experience delivering complex data architectures in enterprise or consulting environments.
Job Description
Position Overview We are seeking a technically-driven Principal Engineer with deep expertise in Salesforce Data Cloud and Snowflake federation. You will architect advanced data integrations, design scalable models, and create reusable frameworks for enterprise deployments across cloud-native ecosystems. Key Responsibilities Architect federated data models integrating Salesforce Data Cloud with Snowflake, enabling real-time, unified data access without replication.
Design and implement secure, efficient federation pipelines—including live-query (zero-copy) and stream-based approaches.
Guide technical engagements from discovery through solution delivery, liaising with executive-level stakeholders.
Create high-impact deliverables such as architectural templates, deployment guides, and enablement tools to support field teams.
Provide subject-matter expertise in data governance, CRM integration, and analytics synergy.
Required Qualifications 8+ years of experience in data
architecture/engineering,
with proficiency in cloud-native platforms and advanced modeling techniques.
Demonstrated track record integrating Salesforce Data Cloud with Snowflake (or similar platforms) using federated strategies.
Hands-on experience building both real-time and streaming data pipelines across enterprise systems.
Exceptional communication skills, including experience advising senior leadership and guiding solution adoption.
Preferred Qualifications Familiarity with broader cloud ecosystems such as Databricks, BigQuery, Redshift, and BI tools (e.g., Tableau, Power BI).
Skilled in Python, SQL, and data engineering tools (e.g., Jupyter notebooks, pandas).
Experience delivering complex data architectures in enterprise or consulting environments.