- Company Name
- Tech Observer
- Job Title
- Data Engineer
- Job Description
-
**Job title:** Salesforce Data Engineer
**Role Summary:**
Senior SME responsible for designing, building, and governing enterprise‑grade data solutions within Salesforce Public Sector Cloud and related Salesforce platforms. Leads development of scalable ETL pipelines, data modeling, governance frameworks, and AI‑driven integrations to enhance data integrity and operational efficiency.
**Expactations:**
- 4–6 yrs experience as Salesforce Platform Developer II and MuleSoft Developer.
- 7–9 yrs experience as Platform Data Architect and MuleSoft Platform Architect.
**Key Responsibilities:**
1. Design, develop, and maintain scalable ETL pipelines, APIs, and integrations between Salesforce and external systems.
2. Optimize data ingestion, transformation, storage, normalisation, and performance across multiple Salesforce Clouds (Public Sector, Service, Experience).
3. Lead data‑modeling strategy, ensuring alignment with Salesforce best practices and business domains.
4. Oversee data migration, deduplication, cleansing, and consistency across Salesforce instances.
5. Architect and deploy AI/ML‑powered agents (Einstein GPT, LLM tools) for decision support, service automation, and workflow integration.
6. Define, implement, and monitor data governance frameworks, standards, naming conventions, and stewardship models.
7. Create documentation for data architectures, integration blueprints, and governance policies.
8. Collaborate with product owners, business units, and stakeholders to translate data governance requirements into technical designs.
**Required Skills:**
- Advanced Salesforce platform development (Apex, Lightning, SOQL/SOSL).
- Expertise in MuleSoft Anypoint Platform, API design, integration, and orchestration.
- Proficiency in data architecture, ETL/ELT design, data warehousing, and performance tuning.
- Strong knowledge of Salesforce data models, object relationships, and metadata management.
- Experience with data governance, data quality, and data stewardship tools.
- Familiarity with AI/ML concepts, integration of predictive models, and generative AI within Salesforce.
- Ability to produce clear technical documentation and communicate complex concepts to stakeholders.
- Hands‑on experience with CI/CD, version control, and automated testing for data solutions.
**Required Education & Certifications:**
- Salesforce Certified Platform Developer II (minimum 4–6 yrs).
- Salesforce Certified MuleSoft Developer (minimum 4–6 yrs).
- Salesforce Certified Platform Data Architect (minimum 7–9 yrs).
- Salesforce Certified MuleSoft Platform Architect (minimum 7–9 yrs).
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