> Markdown version of [/jobs/ext/3097288-technical-architect](https://www.wearedevelopers.com/jobs/ext/3097288-technical-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Technical Architect

- **Company:** Intersources Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $26,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Clinical Data Repository, Clinical Trial Management Systems, Cloud Computing, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Electronic Data Capture, Information Management, Meta-Data Management, Performance Tuning, Release Management, Power BI, Salesforce.Com, SAP (Applications), SAP HANA, Systems Integration, Tableau (Software), Enterprise Data Management, Enterprise Software Applications, Informatica Powercenter, Snowflake, Boomi, SAP Business Technology Platform, Data Layers, Data Lakes, Data Analytics, Enterprise Integration, Data Management, Veeva, Data Pipelines, GXP, Mulesoft, Databricks
- **Published:** September 26, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/33152134#/jobs/33152134

## About the Role

* 15+ years of progressive hands-on experience across enterprise integrations, data platforms, data readiness, analytics enablement, governance, AI-ready data foundations, and solution delivery.
 * Strong working knowledge of leading integration and data platforms including Informatica IDMC, Informatica PowerCenter, SAP BTP, SAP CPI, Dell Boomi, MuleSoft, Databricks, Snowflake, SAP HANA EDW, Power BI, Tableau, ThoughtSpot, Starburst, and comparable enterprise technologies.
 * Hands-on implementation expertise designing, building, and operationalizing data lakes, data warehouses, and lakehouse architectures in Databricks and Snowflake for Commercial, R&D, TechOps, Manufacturing, Supply Chain, Finance, Legal, G&A and other functional domains, including ingestion, transformation, modeling, governance, performance optimization, security, and production support.
 * Expert-level experience connecting enterprise data and information across SAP, Veeva CRM, Salesforce, Veeva PromoMats, Veeva MedComms, clinical trial management systems, electronic data capture, regulatory information management, and functional Commercial, R&D, and TechOps data lake and data warehouse environments.
 * Bachelor's degree required, master's preferred., Heavy data integration experience
Informatica PowerCenter/IDMC
Databricks
Data warehousing
Life sciences/pharma experience
Experience with companies such as Fresenius and a commercial IT organization
Senior-level experience operating as an SME/architect
This profile was shared specifically to help the recruiting team understand the target candidate.

Soft Skills
Strong communicator
Comfortable working with technical teams and business stakeholders
Able to operate independently as the primary SME
Senior enough to come into an environment and "hit the ground running"
Experience working on project-based consulting engagements is acceptable; short consulting assignments are not viewed negatively.

## Description

We are seeking a highly hands-on Senior Technical Architect, Integrations & Data Readiness Solutions to lead the architecture, implementation, and enablement of enterprise integration and data readiness capabilities across Lantheus. This role will connect enterprise systems, platforms, data products, analytics, and AI-ready data foundations so that business teams can access trusted, governed, high-quality data through best-in-class reporting, dashboarding, self-service, and natural-language query experiences.
Key Responsibilities/Essential Functions

 * Establish and lead enterprise integration and data readiness capabilities, including architecture standards, governance frameworks, delivery processes, intake management, prioritization, value tracking, and reusable implementation patterns.
 * Identify, prioritize, and execute integration and data opportunities across business functions, translating business needs and pain points into scalable solutions with measurable outcomes and business value.
 * Architect and implement modern data ecosystems, including data products, data marketplaces, data lakes, warehouses, lakehouses, semantic layers, and AI-ready data assets that enable enterprise-wide data reuse and accessibility.
 * Drive data governance and Master Data Management (MDM) strategies, ensuring data quality, lineage, metadata management, stewardship, security, privacy, compliance, and trusted enterprise data across operational, analytical, and AI use cases.
 * Enable data democratization, self-service analytics, reporting, dashboards, natural-language querying, and AI-driven insights through connected, governed, and reusable data platforms.
 * Develop enterprise-wide training, data literacy, enablement, and organizational change management programs to accelerate adoption of integration, governance, data products, marketplaces, and analytics capabilities.
 * Provide technical leadership through architecture, hands-on delivery, agile release management, portfolio prioritization, mentoring, and strong collaboration with business leaders, architects, system owners, and cross-functional teams.
 * Evaluate emerging technologies, establish sustainable operating and cost models, and foster a culture of innovation, continuous learning, disciplined execution, and measurable value realization across run, grow, and transform initiatives., Informatica PowerCenter
IDMC (Informatica Data Management Cloud)
Databricks
Snowflake
Strong experience with data integrations / ETL
Experience architecting and integrating data pipelines
Data warehousing / MDM experience is valuable

Important distinction:
They do not want a traditional data engineer who primarily builds new data pipelines. They need someone operating at a technical architect / integration SME level, focused on integrating and transforming data across platforms.

Industry / Domain Experience
Life sciences experience is highly important.
Pharma is ideal, but they are open to:
Medical device
Diagnostics
Other life sciences organizations
Candidate should understand commercial and R&D/clinical data, including regulated/GxP/FDA data.
Strong preference for someone who has worked in IT, rather than someone sitting solely on the commercial/business side.
Examples of target companies mentioned included Fresenius, Quanterix, and similar life sciences organizations.
What "Good" Looks Like
The example candidate shared had