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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Salesforce D360 architecture and modern data architecture methods, with a strong focus on data accessibility, privacy, and compliance. Proven ability to design and implement data solutions that facilitate real-time data activation and integration across cloud platforms.
Highest-signal resume keywords
Salesforce D360 ArchitectureData Architecture MethodsSQL and Python ProficiencyData Modeling MethodologiesSalesforce Certified Data Cloud Consultant
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Solutions ArchitectureData Engineering PipelinesReal-Time Data StreamingETL/ELT ToolsData Transformation ProcessesIdentity ResolutionAPI ManagementCalculated InsightsData DemocratizationData Migration
Soft Skills
Strong Verbal CommunicationPresentation AbilitiesClient Guidance
Tools & Technologies
SalesforceSnowflakeDatabricksAWSAzureGoogle Cloud PlatformTableauPowerBIMuleSoftKafka
Certifications & Qualifications
Salesforce Certified Data Cloud ConsultantAccredited Professional
Industry Keywords
Cloud Data PlatformsEnterprise ArchitectureData PrivacyRegulatory ComplianceAI/ML Solutions
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformKafkaPythonSFDCSQLTableau
About the role
Key responsibilities & impact- Own the overall design of technical solutions
- Recommend best-practice solutions based on client needs
- Provide technical guidance to Salesforce.com and other SaaS application development
- Maximize the Salesforce Data 360 ecosystem
- Facilitate discovery sessions to understand client processes and challenges
- Translate findings into technical requirements and documented solution designs
- Develop and implement data architectures for unified profile management, data democratization, and real-time activation
- Design and implement integrations between enterprise cloud data platforms and Salesforce
- Assist with migration, ingestion, and mapping of customer data from legacy systems into Salesforce D360
- Ensure data accessibility, privacy, granular security controls, and regulatory compliance
- Design and implement real-time streaming and batch data pipelines
- Define identity resolution rules, reconciliation rules, and unified data graphs
- Monitor and optimize query performance, calculated insights, identity resolution runs, and data transformation processes
- Collaborate with business users, data engineers, data scientists, and CRM IT teams
- Evaluate tools, connectors, and zero-copy/Zero-Data-Movement technologies
- Provide architectural oversight and best-practice guidance to data engineering and CRM development teams
Requirements
What you’ll need- 5+ years of experience in solutions architecture or technical consulting for cloud data platforms with multiple enterprise workstreams
- Expert knowledge of Salesforce D360 (Data Cloud) architecture and capabilities, including DMOs, DSOs, identity resolution, data spaces, calculated insights, and activation targets
- Experience with modern data architecture methods, including lakehouse architecture, zero-copy data sharing, and real-time data activation
- Comprehensive experience with enterprise database technology, cloud data warehouses such as Snowflake and Databricks, ETL/ELT tools, data engineering pipelines, and data science principles
- Strong verbal and presentation abilities for communicating complex data architecture concepts
- Demonstrable experience leading strategy and digital roadmap projects in a complex business environment
- Proven ability to guide clients toward optimal standard solutions
- Experience with SQL and Python
- Experience with Salesforce development components including Apex, Flow, LWCs, and MuleSoft
- Deep understanding of enterprise architecture patterns, API management, and real-time data streaming technologies such as Kafka and Amazon Kinesis
- Mastery of data modeling methodologies such as Kimball dimensional modeling, Star/Snowflake schemas, or Medallion Bronze/Silver/Gold structures
- Must have full-time permanent US work authorization
- Bachelor’s Degree preferred, or equivalent experience
- Salesforce Certified Data Cloud Consultant or Accredited Professional designations preferred
- Experience with Salesforce CRM technology, including Sales Cloud, Service Cloud, or Industry Clouds
- Experience deploying AI/ML solutions such as Salesforce Einstein, AWS Sagemaker, or Google Vertex AI
- Understanding of Generative AI patterns such as Retrieval-Augmented Generation / RAG
- Experience designing data architectures on AWS, Azure, or Google Cloud Platform
- Experience with Tableau, CRM Analytics, PowerBI, or Looker
- Open to travel based on client and business demands
Benefits
Comp & perks- Flexible working hours with an emphasis on a life-work balance (in that order!)
- Remote flexible work
- Unlimited Paid Time Off (RTO)
- 401K with Company Match
- Medical, Vision, & Dental coverage
- Competitive quarterly bonus opportunities
- Continuing education and certification reimbursements, specifically within the Salesforce and Snowflake ecosystems
- Occasional in-house competitions with spot bonuses
- A flexible and fun team culture
- Frequent team and culture activities, virtual & in-person, including Lunch and Learns, Happy Hours, team-building events
- Monthly All-Hands calls
- Open-door leadership policy with access to mentorship and guidance
- Opportunities for accelerated growth, networking, and career guidance and support
- Trust, transparency and respect across all levels of the company