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Senior Data 360 Consultant / Architect
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDesign and document end-to-end Data 360 solutions, including data modeling and identity resolution
Define architecture for ingestion vs Zero Copy and batch vs real-time processing
Translate business requirements into technical deliverables through workshops
Apply governance, privacy, and consent frameworks at every project stage
Support pre-sales scoping, estimation, and technical presentations
From the employer’s posting
Design and document end-to-end Data 360 solutions, including source mapping, data modeling, and identity resolution
Define architectural strategies for ingestion vs Zero Copy, batch vs real-time processing, and system integration
Translate business requirements into actionable technical deliverables through workshops and stakeholder engagement
Apply governance, privacy, and consent frameworks at every project stage
Shape and validate solutions during pre-sales by supporting scoping, estimation, and technical presentations
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Oct 1, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
656 open jobs
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Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- BigQuery
- Databricks
- Redshift
- Snowflake
Where the posting names them
We are looking for an experienced Senior Data 360 Consultant / Architect to take ownership of the data layer on our most complex Salesforce engagements. Data 360 (formerly Data Cloud) is now at the core of every AI and Agentforce initiative, making this role pivotal to our clients’ success. You will bridge the gap between the client’s current data landscape and the target architecture, shaping innovative solutions that unlock measurable value. This position spans the full delivery lifecycle—from discovery and design to activation and handover—while also providing strategic input during pre-sales activities. You will collaborate closely with business and technical teams, ensuring robust data governance and compliance from day one. If you are ready to design scalable architectures that empower intelligent solutions, we invite you to apply and join us on this exciting journey! Responsibilities Design and document end-to-end Data 360 solutions, including source mapping, data modeling, and identity resolution Define architectural strategies for ingestion vs Zero Copy, batch vs real-time processing, and system integration Translate business requirements into actionable technical deliverables through workshops and stakeholder engagement Apply governance, privacy, and consent frameworks at every project stage Shape and validate solutions during pre-sales by supporting scoping, estimation, and technical presentations Mentor team members, develop reference architectures, and contribute to internal expertise building Requirements 5+ years in technical delivery roles, including 2+ years of hands-on Data 360 / Data Cloud experience Salesforce Certified Data 360 Consultant credential Strong foundation in data modeling, harmonization, and identity resolution concepts Proficiency in ETL/ELT, integration tools (e.g., MuleSoft, Informatica), and SQL Practical knowledge of at least one major external data platform (Snowflake, Databricks, BigQuery, or Redshift) Experience with Sales Cloud and/or Service Cloud implementation Excellent communication and facilitation skills for workshops and executive-level discussions Nice to have Agentforce Specialist certification or relevant delivery experience Familiarity with AI-oriented data patterns such as RAG, vector stores, and search indexing Background in Marketing Cloud and Personalization (MCP / Evergage) for journey and segmentation design Understanding of Salesforce platform fundamentals, including Flows, LWC, and Apex Awareness of consumption-based licensing models and credit usage optimization Industry expertise in financial services, telecom, retail, or manufacturing
Your next step
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Job description
We are looking for an experienced Senior Data 360 Consultant / Architect to take ownership of the data layer on our most complex Salesforce engagements. Data 360 (formerly Data Cloud) is now at the core of every AI and Agentforce initiative, making this role pivotal to our clients’ success. You will bridge the gap between the client’s current data landscape and the target architecture, shaping innovative solutions that unlock measurable value. This position spans the full delivery lifecycle—from discovery and design to activation and handover—while also providing strategic input during pre-sales activities. You will collaborate closely with business and technical teams, ensuring robust data governance and compliance from day one. If you are ready to design scalable architectures that empower intelligent solutions, we invite you to apply and join us on this exciting journey! Responsibilities Design and document end-to-end Data 360 solutions, including source mapping, data modeling, and identity resolution Define architectural strategies for ingestion vs Zero Copy, batch vs real-time processing, and system integration Translate business requirements into actionable technical deliverables through workshops and stakeholder engagement Apply governance, privacy, and consent frameworks at every project stage Shape and validate solutions during pre-sales by supporting scoping, estimation, and technical presentations Mentor team members, develop reference architectures, and contribute to internal expertise building Requirements 5+ years in technical delivery roles, including 2+ years of hands-on Data 360 / Data Cloud experience Salesforce Certified Data 360 Consultant credential Strong foundation in data modeling, harmonization, and identity resolution concepts Proficiency in ETL/ELT, integration tools (e.g., MuleSoft, Informatica), and SQL Practical knowledge of at least one major external data platform (Snowflake, Databricks, BigQuery, or Redshift) Experience with Sales Cloud and/or Service Cloud implementation Excellent communication and facilitation skills for workshops and executive-level discussions Nice to have Agentforce Specialist certification or relevant delivery experience Familiarity with AI-oriented data patterns such as RAG, vector stores, and search indexing Background in Marketing Cloud and Personalization (MCP / Evergage) for journey and segmentation design Understanding of Salesforce platform fundamentals, including Flows, LWC, and Apex Awareness of consumption-based licensing models and credit usage optimization Industry expertise in financial services, telecom, retail, or manufacturing
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