Enterprise Data Architect Titusville, - NJ - New Jersey

Role: Enterprise Data & AnalyticsLocation: Titusville, NJRole Descriptions:We are seeking a highly skilled Technical Architect Data & Analytics with over 10 years of experience to lead the design, architecture, and implementation of scalable data platforms. The ideal candidate will have deep expertise in data architecture, cloud-based analytics solutions, and Salesforce data integration, along with strong stakeholder engagement and communication skills.This role will be instrumental in building a robust data ecosystem to support analytics, reporting, and emerging AI-driven initiatives within a pharma domain context, particularly in Patient Support Programs (PSP).Key ResponsibilitiesArchitecture & DesignLead end-to-end architecture design for enterprise data and analytics platforms.Define scalable, reliable, and secure data architecture patterns for structured and unstructured data.Design data integration frameworks, pipelines, and data models to support analytics and reporting.Salesforce Data IntegrationArchitect and implement solutions for ingesting and processing data from Salesforce platforms (e.g., Sales Cloud, Service Cloud, Health Cloud).Ensure data quality, consistency, and governance across Salesforce and downstream systems.Cloud & Data PlatformsDesign and build scalable solutions leveraging modern cloud platforms (AWSAzureGoogle Cloud Platform).Implement data lakes, data warehouses, and lakehouse architectures.Optimize data processing frameworks for performance and cost efficiency.Analytics & ReportingEnable BI and reporting solutions using tools like Power BI, Tableau, or similar.Ensure data availability and performance for downstream analytics and reporting teams.Support advanced analytics use cases including predictive and prescriptive analytics.AI & Advanced Capabilities (Nice to Have)Contribute to AIML initiatives including data preparation for machine learning models.Drive adoption of AI-enabled analytics and automation solutions.Stakeholder ManagementCollaborate with business stakeholders, product owners, and IT teams to align technical solutions with business goals.Translate business requirements into technical architecture and actionable road maps.Present architecture designs and solutions to senior leadership.Governance & Best PracticesEstablish and enforce data governance, security, and compliance standards.Promote best practices in data modeling, ETLELT processes, and DevOps.Ensure adherence to regulatory requirements, especially within the pharma domain.Required Skills & Qualifications10+ years of experience in Data Engineering, Data Architecture, or Analytics PlatformsStrong expertise in:Data architecture (data modeling, warehousing, integration)ETLELT tools and frameworksCloud platforms such as AWS, Azure, or Google Cloud PlatformProven experience in Salesforce data integration and architectureExperience designing scalable, enterprise-grade data platformsKnowledge of BIreporting tools (Power BI, Tableau, etc.)Excellent analytical, problem-solving, and communication skillsDemonstrated experience in stakeholder management and cross-functional collaborationNice to HaveExperience with AIML implementation or data support for AI initiativesKnowledge of Patient Support Programs (PSP) in the PharmaLife Sciences domainFamiliarity with data governance and compliance standards (HIPAA, GDPR, etc.)Soft SkillsStrong leadership and decision-making capabilityExcellent verbal and written communication skillsAbility to influence stakeholders and drive consensusStrategic thinking with a hands-on mindsetEssential Skills: Patient Support Program Data Analytics SaleforceDesirable Skills:Keyword:Skills: SalesforceData Analytics & Insights : ignio AIOpsData Architecture and ModelingExperience Required: 6-8