Leverage Salesforce Data Cloud to unify, harmonize, and activate customer and operational data for analytics consumption
Collaborate with business analysts, data engineers, and stakeholders to gather analytics requirements and translate them into scalable technical designs
Develop custom Apex, Lightning Web Components (LWC), and Salesforce Flows to extend and embed analytics capabilities within Salesforce applications
Integrate Salesforce analytics solutions with external data sources (e.g., Snowflake, Azure Data Lake, SAP, S3) using connectors, APIs, and ETL pipelines
Implement Einstein Discovery models to deliver AI-powered predictions and recommendations embedded in Salesforce records and dashboards
Ensure analytics solutions comply with Salesforce data governance, security models, row-level security (RLS), and field-level security standards
Work with Tableau (external) or other BI tools to complement Salesforce-native analytics where applicable
Conduct code and dashboard reviews, mentor junior developers, and establish best practices for analytics development
Monitor, troubleshoot, and optimize dashboard performance, data refresh schedules, and dataflow efficiency
Stay current with Salesforce Analytics platform releases and proactively recommend new features for adoption
Participate in Agile/Scrum ceremonies including sprint planning, backlog grooming, and retrospectives
Basic Qualifications
Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field (or equivalent work experience)
5+ years of hands-on Salesforce development experience
3+ years of experience with Salesforce CRM Analytics (Tableau CRM / Einstein Analytics), including dashboard design, dataflow development, and SAQL
Proficiency in Apex, Lightning Web Components (LWC), SOQL/SOSL, and Salesforce Flow
Strong experience with Salesforce Reports and Dashboards, including dynamic dashboards and cross-object reporting
Hands-on experience with SAQL for custom data queries within CRM Analytics
Familiarity with Salesforce Data Cloud or customer data platform (CDP) concepts
Experience integrating Salesforce with external data sources using REST/SOAP APIs, Salesforce Connect, or third-party ETL tools
Solid understanding of Salesforce data model, security model, and governor limits
Experience with Salesforce DX (SFDX), Git, and CI/CD deployment pipelines
Active Salesforce Certified Platform Developer I certification
Preferred Qualifications
Salesforce Certified CRM Analytics and Einstein Discovery Consultant certification
Salesforce Certified Platform Developer II certification
Salesforce Data Cloud Consultant certification
Experience with Einstein Discovery for AI-powered predictive analytics and model storytelling
Proficiency with Tableau (desktop or server) for supplemental enterprise reporting and visualization
Experience with cloud data platforms such as Snowflake, Azure Synapse, Google BigQuery, or AWS Redshift and their integration with Salesforce
Familiarity with Python, SQL, or R for data preprocessing, transformation, or advanced analytics use cases
Knowledge of data warehousing concepts, dimensional modeling, and ETL/ELT best practices
Understanding of data governance frameworks, data quality management, and metadata management
Experience in the healthcare, pharmaceutical, or life sciences industry
Strong data storytelling skills with the ability to present complex analytical findings to non-technical business stakeholders
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- Bachelor’s degree in computer science, software engineering, computer engineering, information systems, or a related field, or equivalent experience required.
4+ years of experience in software engineering, systems engineering, application development, platform engineering, or a related field required.
AWS Certified Cloud Practitioner (CLF-C02), AZ-900: Azure Fundamentals, RHCSA (Red Hat Certified System Administrator) certification, or equivalent preferred.
- Knowledge of software and systems engineering principles, development lifecycle practices, testing strategies, and production support models.
- Knowledge of system architecture, application design, integration patterns, debugging techniques, version control, and deployment approaches.
- Knowledge of performance engineering, reliability, scalability, secure design, and operational resilience concepts.
- Skill in coding, configuration, technical design, troubleshooting, root cause analysis, and structured problem solving.
- Skill in using development frameworks, testing tools, source control platforms, CI/CD pipelines, collaboration tools, and work management systems.
- Ability to lead moderately complex to complex engineering work independently while applying sound judgment, quality standards, and risk awareness.
- Ability to collaborate effectively with technical and non-technical stakeholders and communicate solution options, dependencies, risks, and progress clearly.
- Knowledge of advanced software and systems engineering principles, development lifecycle practices, testing strategies, and production support models.
- Knowledge of application architecture, system design, integration patterns, cloud and infrastructure components, and secure engineering practices.
- Knowledge of performance engineering, scalability, reliability, resilience, observability, and operational support frameworks.
- Skill in technical design, coding or configuration, debugging, root cause analysis, performance tuning, and structured problem solving.
What Cencora offers
Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.
Full time
- Affiliated Companies
- Affiliated Companies: CENCORA BUSINESS SERVICES INDIA PRIVATE LIMITED
Equal Employment Opportunity
Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.
The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.
Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned
