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Data Architect
Job
Themesoft Inc.
Morris Plains, NJ (In Person)
Full-Time
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Job Description
Data Architect at Themesoft Inc. Data Architect at Themesoft Inc. in Morris Plains, New Jersey Posted in about 2 hours ago.
Type:
full-timeJob Description:
Contract - W2 Hybrid in Parsippany, NJ 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/GCP) 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.