Technical Architect - Informatica, Databricks, Snowflake

TheCorporate LLC; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Lantheus is seeking a highly hands-on Senior Technical Architect, Integrations & Data Readiness to lead architecture and delivery of enterprise integration and data readiness capabilities. You will drive cross-functional collaboration, governance, and data product initiatives to enable trusted data for analytics and AI-ready insights.

The role emphasizes SME-level architecture across Informatica, Databricks, Snowflake, and related platforms, with a focus on integrating data across clinical,

Responsibilities

• 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 into scalable solutions with measurable outcomes.
• Architect and implement modern data ecosystems, including data products, data marketplaces, data lakes, warehouses, lakehouses, semantic layers, and AI-ready data assets.
• Drive data governance and MDM strategies, ensuring data quality, lineage, metadata management, security, privacy, compliance.
• Enable data democratization, self-service analytics, reporting, dashboards, and AI-driven insights.

Job description

Job Title: Technical Architect - Informatica, Databricks, Snowflake

W2 candidates only

Location: 100% Remote

Duration: 6+ Months

Interview Mode: Phone then Video

Job Responsibilities

Summary

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.

Required Qualifications

• 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.

Example Profile - https://www.linkedin.com/in/mani-sagar-89a0758/

Required:

Informatica -- particularly:

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:

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.