Technical Data Architect - W2 Only

Technical Data Architect
Location: Parsippany, NJ (hybrid)

W2 Position


Role Summary: The Sales & Marketing Technology Architect will own the end-to-end solution architecture for commercial (Sales, Marketing, Market Access, Bid Management, and Tender Management) capabilities in a pharmaceutical environment. This role evaluates and selects technology products, designs scalable integration patterns, reviews technical artifacts, and provides hands-on architectural governance to ensure high-quality delivery of data models and business intelligence applications supporting sales planning, forecasting, bids, and tenders.
Key Responsibilities
Architecture & Solution Design: Define target architecture, reference patterns, and solution blueprints for Sales & Marketing platforms, data products, and analytics applications.
Technology Evaluation & Product Selection: Evaluate commercial technology products (build vs buy) and recommend fit-for-purpose tools considering scalability, security, cost, vendor roadmap, and operating model.
Integration Design & Delivery Oversight: Design and govern integrations across CRM, marketing platforms, data platforms, and downstream reporting; define API/event/file-based integration patterns, data contracts, error handling, monitoring, and resiliency.
Sales Planning, Forecasting, Bid Management & Tender Management: Provide architectural guidance for sales planning/forecasting solutions, bid and tender management capabilities, KPI frameworks, and semantic models to enable consistent performance reporting and decision support and evaluate the COTS products against Teva business requirements.
Data Modelling & BI Application Building: Drive dimensional/logical data models, curated data marts, and semantic layers; guide BI application design (dashboards, self-service datasets, and governed metrics).
Technical Artifact Review: Review and approve key artifacts including architecture diagrams, HLD/LLD, interface specs, data models, deployment architecture, test strategy, and runbooks.
Engineering Governance & Quality: Establish standards for coding, CI/CD, DevSecOps, logging/alerting, performance testing, data quality, and documentation; conduct design reviews and technical risk assessments.
Team Oversight & Mentoring: Review the team's work, provide technical direction, unblock delivery, and coach engineers/analysts to improve design and implementation quality.
Stakeholder Partnership: Work closely with Sales Ops, Marketing, Market Access, Finance, and IT stakeholders to translate business needs into prioritized, implementable technical roadmaps.
Compliance & Data Governance: Ensure solutions follow enterprise security, privacy, and audit requirements; define data governance practices (lineage, access controls, and data retention) appropriate for pharma commercial data.
Required Qualifications
15 years of experience in enterprise architecture / solution architecture, with significant experience in Pharma Commercial (Sales, Marketing, Market Access, or Commercial Analytics).
Proven experience evaluating technology products and defining selection criteria (security, scalability, integration feasibility, TCO, vendor fit).
Strong hands-on experience designing and governing integrations (APIs, event streaming, batch/file integrations, middleware/iPaaS), including non-functional requirements (performance, resiliency, observability).
Strong understanding of sales planning, forecasting, bid management, and tender management concepts (e.g., targets, territories, quotas, demand/forecast inputs, actuals vs plan, scenario planning, tender lifecycles, pricing submissions, and contract award workflows).
Strong data modelling skills (dimensional modelling, star schema, semantic modelling) and ability to translate business KPIs into governed metrics.
Experience building BI/analytics applications and semantic layers (e.g., Power BI, Tableau, Qlik or similar) and enabling self-service with governance.
Experience reviewing technical artifacts (HLD/LLD, interface specs, data models, architecture diagrams) and providing actionable review feedback.
Excellent communication skills with ability to influence engineering teams and business stakeholders.
Bachelor's degree in Engineering, Computer Science, Information Systems, or related field (or equivalent experience).
Preferred Qualifications
Experience with commercial ecosystems and platforms such as Salesforce (Sales/Revenue Cloud), Veeva, tender and bid management solutions, marketing analytics platforms, and integration with enterprise ERP and pricing/GTN systems.
Experience on cloud data platforms (Azure/AWS/Google Cloud Platform) and data engineering patterns (lakehouse, ELT/ETL orchestration, metadata management).
Exposure to syndicated pharma datasets and commercial data sources (e.g., IQVIA, Symphony) and common commercial KPIs.
Knowledge of MDM concepts (customer/product hierarchies), data quality frameworks, and governance operating models.
Experience with architecture review boards, enterprise standards, and regulated environments (auditability, segregation of duties, secure data handling).
Key Skills & Competencies
Strong architecture thinking with pragmatic delivery focus (ability to translate target state into incremental releases).
Analytical mindset with attention to detail for data models, metric definitions, and technical specifications.
Ability to review work products objectively and raise risks early with mitigation options.
Collaboration and stakeholder management across business, data, and engineering teams.
Strong documentation discipline and ability to drive consistency in artifacts and standards.