

Openkyber
Cloud Support Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Support Engineer, a 6-month remote contract position. Requires deep experience with Salesforce Data Cloud and Marketing Cloud, SQL proficiency, and strong data quality assurance skills. Familiarity with AI-assisted development is a plus.
🌎 - Country
United States
💱 - Currency
Unknown
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 6, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Texas
-
🧠 - Skills detailed
#Triggers #Automation #API (Application Programming Interface) #Cloud #Documentation #AMPscript #Monitoring #AI (Artificial Intelligence) #Salesforce Marketing Cloud #Scripting #Scala #Logging #GIT #Data Quality #SAP #REST (Representational State Transfer) #UAT (User Acceptance Testing) #SSJS (Server-Side JavaScript) #React #Process Automation #Debugging #Version Control #Data Engineering #SQL (Structured Query Language)
Role description
OpenKyber is an SAP and Success Factors Partner with employees located across the United States. Our organization is dedicated to customer and employee satisfaction. We provide High Quality, Cost efficient and Competitive Solutions and Resources. OpenKyber is looking for Martech Data Engineer with Salesforce Data Cloud for one of our clients in Remote Role: Data Engineer with Martech & Salesforce Data Cloud Location: Fully Remote Duration: 6-Month Contract (with potential for extension) Role summary We are seeking a hands-on Data Cloud and Marketing Cloud optimization expert to own enablement, operations, and technical delivery across our audience, personalization, and lifecycle marketing programs. This role will diagnose and fix data quality issues, build scalable segmentation and calculated insights, and ensure reliable activation from Data Cloud into Marketing Cloud - with strong engineering rigor and modern AI-assisted development practices. You will be accountable for validating outcomes (counts, suppression logic, segment membership, send eligibility) and restoring confidence in delivery quality. Core responsibilities:
Data quality and activation integrity (highest priority) Identify root causes of invalid email addresses flowing from Data Cloud to Marketing Cloud even when segment rules should exclude them. Implement robust validation controls: Email format checks, null/blank handling, bounce and suppression alignment Consent and contactability rules Pre-activation sendability gates and automated QA checks Prove fixes with reproducible validation: before/after counts, sample audits, and documented logic.
Segmentation buildout and validation Build an Alaska affinity segment plus a family flag using Data Cloud (and downstream activation). Ensure segment logic is explainable, testable, and measurable: Attribute sources, refresh cadence, edge cases, and membership drift monitoring Validate segment counts end-to-end (Data Cloud -> activation -> Marketing Cloud audience).
Process automation for operational scale Implement an automated Experience Ambassador profile sender details process: Trigger logic, data retrieval, templating, and reliable send execution Instrumentation and alerts for failures and data mismatches
Calculated Insights for Q2 2026 personalization Deliver and operationalize Calculated Insights such as: Short voyage flag Booking window category (Early/Standard/Last Minute) Total voyages completed Align definitions with stakeholders, implement in Data Cloud, and activate cleanly to Marketing Cloud for personalization.
Past guest data extension for lifecycle personalization Create a Marketing Cloud Data Extension of all past guests to support: Cruise anniversaries, birthdays, winback, loyalty journeys Set up repeatable refresh, dedupe, and contactability enforcement.
What you will own day-to-day: Data Cloud enablement and operations: ingestion, modeling, identity, segmentation, activation, monitoring Marketing Cloud technical operations: data extensions, automations, journeys, email deliverability safeguards Ticket execution with high rigor: requirements, implementation, QA, UAT support, documentation, handoff Must-have technical skills (non-negotiable):
Data Cloud Deep experience with Salesforce Data Cloud: data streams, mapping/harmonization, identity resolution, segmentation, activation Strong command of Calculated Insights design and performance considerations Data debugging across source -> Data Cloud -> activation targets
Marketing Cloud Strong experience with Salesforce Marketing Cloud (Email Studio and Journey Builder at minimum) SQL proficiency for segmentation and data extension work Automation Studio patterns: refreshes, file drops, query activities, error handling Scripting capability: AMPscript and/or SSJS (preferred), plus template personalization logic Deliverability-aware engineering: suppression, bounce handling, sender reputation protection Engineering rigor Ability to validate counts are correct with reproducible methods: Sampling, reconciliation, test cases, logging, audit tables
API and data movement skills (as needed): REST/SOAP, SFTP patterns, event-driven triggers Version control and release discipline: Git workflows, code review, environment promotion
Nice to have:
AI-assisted development Comfortable using agentic AI coding tools to accelerate: SQL and scripting development Test-case generation Root cause analysis hypotheses and log parsing Documentation and runbooks Knows how to use AI safely: avoids leaking sensitive data, validates outputs, writes human-reviewable code
Please send your resumes to: Regards, OpenKyber
For applications and inquiries, contact: hirings@openkyber.com
OpenKyber is an SAP and Success Factors Partner with employees located across the United States. Our organization is dedicated to customer and employee satisfaction. We provide High Quality, Cost efficient and Competitive Solutions and Resources. OpenKyber is looking for Martech Data Engineer with Salesforce Data Cloud for one of our clients in Remote Role: Data Engineer with Martech & Salesforce Data Cloud Location: Fully Remote Duration: 6-Month Contract (with potential for extension) Role summary We are seeking a hands-on Data Cloud and Marketing Cloud optimization expert to own enablement, operations, and technical delivery across our audience, personalization, and lifecycle marketing programs. This role will diagnose and fix data quality issues, build scalable segmentation and calculated insights, and ensure reliable activation from Data Cloud into Marketing Cloud - with strong engineering rigor and modern AI-assisted development practices. You will be accountable for validating outcomes (counts, suppression logic, segment membership, send eligibility) and restoring confidence in delivery quality. Core responsibilities:
Data quality and activation integrity (highest priority) Identify root causes of invalid email addresses flowing from Data Cloud to Marketing Cloud even when segment rules should exclude them. Implement robust validation controls: Email format checks, null/blank handling, bounce and suppression alignment Consent and contactability rules Pre-activation sendability gates and automated QA checks Prove fixes with reproducible validation: before/after counts, sample audits, and documented logic.
Segmentation buildout and validation Build an Alaska affinity segment plus a family flag using Data Cloud (and downstream activation). Ensure segment logic is explainable, testable, and measurable: Attribute sources, refresh cadence, edge cases, and membership drift monitoring Validate segment counts end-to-end (Data Cloud -> activation -> Marketing Cloud audience).
Process automation for operational scale Implement an automated Experience Ambassador profile sender details process: Trigger logic, data retrieval, templating, and reliable send execution Instrumentation and alerts for failures and data mismatches
Calculated Insights for Q2 2026 personalization Deliver and operationalize Calculated Insights such as: Short voyage flag Booking window category (Early/Standard/Last Minute) Total voyages completed Align definitions with stakeholders, implement in Data Cloud, and activate cleanly to Marketing Cloud for personalization.
Past guest data extension for lifecycle personalization Create a Marketing Cloud Data Extension of all past guests to support: Cruise anniversaries, birthdays, winback, loyalty journeys Set up repeatable refresh, dedupe, and contactability enforcement.
What you will own day-to-day: Data Cloud enablement and operations: ingestion, modeling, identity, segmentation, activation, monitoring Marketing Cloud technical operations: data extensions, automations, journeys, email deliverability safeguards Ticket execution with high rigor: requirements, implementation, QA, UAT support, documentation, handoff Must-have technical skills (non-negotiable):
Data Cloud Deep experience with Salesforce Data Cloud: data streams, mapping/harmonization, identity resolution, segmentation, activation Strong command of Calculated Insights design and performance considerations Data debugging across source -> Data Cloud -> activation targets
Marketing Cloud Strong experience with Salesforce Marketing Cloud (Email Studio and Journey Builder at minimum) SQL proficiency for segmentation and data extension work Automation Studio patterns: refreshes, file drops, query activities, error handling Scripting capability: AMPscript and/or SSJS (preferred), plus template personalization logic Deliverability-aware engineering: suppression, bounce handling, sender reputation protection Engineering rigor Ability to validate counts are correct with reproducible methods: Sampling, reconciliation, test cases, logging, audit tables
API and data movement skills (as needed): REST/SOAP, SFTP patterns, event-driven triggers Version control and release discipline: Git workflows, code review, environment promotion
Nice to have:
AI-assisted development Comfortable using agentic AI coding tools to accelerate: SQL and scripting development Test-case generation Root cause analysis hypotheses and log parsing Documentation and runbooks Knows how to use AI safely: avoids leaking sensitive data, validates outputs, writes human-reviewable code
Please send your resumes to: Regards, OpenKyber
For applications and inquiries, contact: hirings@openkyber.com




