Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Technica Data Architect

Job

Lorven Technologies, Inc.

Remote

Full-Time

Posted 5 days ago (Updated 2 days ago) • Actively hiring

Expires 7/5/2026

See Job Scorecard

Review key factors to help you decide if the role fits your goals.

How is this calculated?

Pay Growth

out of 5

Not enough data

Not enough info to score pay or growth

Job Security

out of 5

Not enough data

Calculating job security score...

Total Score

out of 100

Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Our client is looking Technical Data Architect project in Parsippany, NJ (Hybrid) below is the detailed requirements.

Position:

Technical Data Architect Location:

Parsippany, NJ (Hybrid) Long term

Job Description:

Bachelor's degree Master s degree in Computer Science, Information Systems, Engineering, or a related discipline with minimum 15+ Years of Overall IT experience. 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.