Technical Data Architect (AWS + Veeva)
19 days ago
Parsippany
Job Title: Technical Data Architect (AWS + Veeva) Location: Parsippany, NJ Work Arrangement: Hybrid Employment Type: Contract Duration: 9+ Months Pay Range: $57.69/hr. to $64.62/hr. on W2 | $75.00/hr. to $84.00/hr. on C2C Domain: Life Sciences & Pharmaceutical Commercial Technology Application Deadline: June 14, 2026 SKILLS REQUIRED Primary (Must-Have): ✔️15+ years of experience in Enterprise Architecture / Solution Architecture, specifically within the Pharmaceutical Commercial domain (Sales, Marketing, Market Access, or Commercial Analytics). ✔️Strong hands-on expertise in Data Modeling (Dimensional modeling, star schemas, and semantic modeling) and translating business KPIs into governed metrics. ✔️Proven experience designing and governing cloud integrations (APIs, event streaming, batch/file integrations, middleware/iPaaS), including non-functional requirements like performance, resiliency, and observability. ✔️Deep functional understanding of sales planning, forecasting, bid management, and tender management lifecycles. ✔️Demonstrated experience evaluating technology products (build vs. buy assessments) and reviewing/approving complex technical design artifacts (HLD/LLD, data models, and interface specs). Secondary (Good to Have): ✔️Hands-on experience with commercial platforms and ecosystems such as Salesforce, Veeva CRM, and marketing analytics tools. ✔️Experience working with Cloud Data Platforms (AWS preferred) and standard data engineering patterns (Lakehouse architectures, ETL/ELT orchestration, and metadata management). ✔️Direct exposure to syndicated pharmaceutical datasets and commercial data sources (e.g., IQVIA, Symphony) and Master Data Management (MDM) concepts. ✔️Familiarity working within highly regulated life sciences environments requiring strict data governance, auditability, and secure data handling. POSITION OVERVIEW are seeking an Elite Senior Technology Architect to own the end-to-end solution architecture for global commercial capabilities (Sales, Marketing, Market Access, Bid, and Tender Management) in a dynamic pharmaceutical environment. Based out of Parsippany, NJ on a hybrid schedule, this pivotal role will evaluate technology platforms, design scalable integration patterns, drive robust data modeling, and provide hands-on architectural governance. The selected candidate will ensure high-quality delivery of data products and business intelligence applications that directly support strategic commercial forecasting and decision-making. ROLES & RESPONSIBILITIES ✔️Define target architectures, reference patterns, and solution blueprints for commercial platforms, data products, and downstream business intelligence/analytics applications. ✔️Evaluate commercial technology products (COTS) and software solutions against complex business requirements, factoring in scalability, security, Total Cost of Ownership (TCO), and vendor roadmaps. ✔️Design and govern data integrations across CRM, marketing platforms, and data lakehouses, establishing explicit data contracts, error-handling mechanisms, and monitoring frameworks. ✔️Lead the design of dimensional data models, curated data marts, and semantic layers to enable seamless, self-service BI reporting (via Power BI, Tableau, or Qlik). ✔️Review and approve high-stakes technical artifacts including architecture diagrams, HLD/LLD documents, interface specifications, and deployment strategies. ✔️Establish clear engineering governance standards for coding, CI/CD pipelines, DevSecOps, data quality metrics, and regulatory data compliance (lineage, access controls, and retention). ✔️Partner closely with Sales Operations, Market Access, Finance, and IT executives to translate complex commercial needs into prioritized, implementable technical roadmaps. BENEFITS Medical | Dental | Vision | 401(k) EEOC Compliance We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.