{"id":4332054,"url":"https://alion.io/job/dentsu-salesforce-data-cloud-mcp-engineer","title":"Salesforce Data Cloud + MCP Engineer","company":{"id":888,"name":"dentsu","domain":"dentsu.com","url":"https://alion.io/company/dentsu-polska","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":98,"ghost_share":0.01,"stale_share":0.776,"repost_share":0.031,"time_to_fill_p50_days":31,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GDPR","optional":false},{"name":"JavaScript","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Salesforce Data Cloud","optional":false},{"name":"SOAP","optional":false},{"name":"SQL","optional":false},{"name":"Apex","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-15T07:34:38Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"Job Description:\nExperience- 4 to 6 years\nRole - Senior Engineer -Salesforce Data Cloud (SFDC)\nJob Description:\nWe are seeking a skilled and forward-thinking Technical Lead to architect and lead the delivery of solutions using Salesforce Data Cloud. This role is ideal for professionals who have hands-on experience with Data Cloud, and a strong foundation in Salesforce Marketing Cloud, including Marketing Cloud Personalization (MCP).\nYou will be responsible for designing scalable data architectures, managing ingestion and activation workflows, and integrating Data Cloud with other MarTech platforms to enable unified customer profiles and personalized experiences. The role requires close collaboration with cross-functional teams including marketing, analytics, and engineering.\nMust have skills\n1. Hands-on experience with Salesforce Data Cloud, including data ingestion, unification, and activation\n2. Strong understanding of identity resolution, consent management, and customer profile stitching\n3. Experience with Salesforce Marketing Cloud, especially MCP, Journey Builder, and Interaction Studio\n4. Proficiency in API integrations (REST, SOAP) and data connectors\n5. Strong skills in SQL, Python, or JavaScript for data manipulation and automation\n6. Experience integrating Data Cloud with MarTech platforms (e.g., ESPs, CRMs, analytics tools)\n7. Familiarity with data governance, privacy regulations (GDPR, CCPA), and performance optimization\nGood to have skills\n1. Experience with Salesforce CRM, Service Cloud, or Commerce Cloud\n2. Knowledge of cloud platforms (AWS, GCP, Azure) and big data technologies\n3. Experience with CI/CD pipelines, DevOps practices, and containerization\n4. Client-facing experience and ability to lead technical discussions with stakeholders\n5. Familiarity with audience segmentation, journey orchestration, and personalization strategies\nKey responsibiltes\n1. Lead the technical design and implementation of Salesforce Data Cloud solutions\n2. Architect data models and ingestion pipelines for unified customer profiles\n3. Integrate Data Cloud with MCP and other MarTech platforms for activation and personalization\n4. Collaborate with business stakeholders to translate requirements into scalable solutions\n5. Guide development teams in building reusable components and automation scripts\n6. Ensure data quality, performance optimization, and privacy compliance\n7. Troubleshoot complex data and integration issues across platforms\n8. Mentor junior engineers and contribute to technical standards and best practices\n9. Support audience creation, segmentation, and journey orchestration workflows\n10. 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