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Terumo Medical Corporation

Cloud Data Architect

somerset, NJ

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About this opportunity

Terumo Medical Corporation lists this Cloud Data Architect opportunity in somerset, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.

Job description

The Cloud Data Architect is a senior member of the BI & Analytics team and will be responsible for architecting, designing, and governing enterprise-scale cloud data platforms , including cloud data lakes and cloud data warehouses , to support reporting, analytics, and advanced data use cases.

This role will lead the data architecture strategy for the organization’s analytics modernization journey, defining scalable, secure, and high‑performance cloud data solutions.

The Cloud Data Architect will partner closely with IT leadership, business stakeholders, and analytics teams to enable a standardized, best‑in‑class analytics ecosystem across all TAH entities. This role requires strong experience with cloud-native data architecture , data modeling, and large-scale analytics platforms. Experience with Azure and Databricks is strongly preferred , though candidates with comparable experience on other cloud platforms (AWS, GCP, Snowflake, etc.) will be considered.

Please make an application promptly if you are a good match for this role due to high levels of interest.

Job Details/Responsibilities

Define and Own Enterprise Cloud Data Architecture and Strategy for Analytics

Own and lead enterprise cloud data architecture across BI/EDW, analytics, and AI/ML, including Databricks Lakehouse, Delta Lake, and Medallion patterns for all data types.

Set architectural standards and drive delivery end‑to‑end—from design through production—through reviews, documentation, and informed technical decision‑making.

Lead Analytics Modernization and Legacy EDW Migration

Define target-state architectures and phased migration strategies using Databricks, Lakehouse, and cloud data warehouse pattern

Provide architectural leadership for migration and modernization, including data refactoring, integration patterns, and adoption of cloud‑native capabilities with strong security and performance controls.

Partner with business and analytics stakeholders to manage risk and ensure migrated solutions meet reporting, analytics, and long‑term enterprise standards.

Architect and Govern the Enterprise Data Platform

Provide architectural leadership for engineering, operations, and production support, including Databricks platform administration, CI/CD automation, performance optimization, cost management, and adherence to SLAs.

Establish Data Governance, Security, and Platform Standards

Ensure strong data governance and analytics enablement, enforcing security, quality, and compliance standards while enabling self‑service analytics through trusted data products, documentation, and stakeholder collaboration

Provide Technical Leadership and Architectural Guidance

Lead and provide day‑to‑day technical direction, task prioritization and architectural guidance to a small team of data engineers, including internal shared‑services resources and vendor partners, to deliver enterprise cloud data platforms and analytics solutions.

Enable Advanced Analytics and AI/ML Capabilities

Continuously assess and integrate evolving Azure, Databricks, Machine Learning, and AI capabilities into the enterprise roadmap where they deliver measurable business value.

Support responsible adoption of next‑generation AI approaches by enabling secure, governed access to enterprise data and strengthening metadata, lineage, and traceability foundations. xhmxlyz

Incumbent must follow all established Environmental Health & Safety and Quality System policies, programs, rules and practices, including but not limited to product and patient safety, the health and safety of all associates as well as the environment and community at large.

Knowledge, Skills and Abilities

Strong expertise in cloud data architecture, including Lakehouse and cloud data warehouse patterns, supporting BI/EDW, analytics, and AI/ML workloads

Hands-on experience with Azure Databricks and Delta Lake (Medallion architecture)

Advanced proficiency in SQL, Python, PySpark, and Spark SQL

Experience designing enterprise-scale batch and real-time data solutions

Strong understanding of data governance, security, compliance, and data quality

Proven ability to lead design discussions, conduct architectural reviews, and guide teams on technical decisions and tradeoffs

Strong analytical and communication skills, translating business needs into scalable architectures

Experience supporting analytics and BI consumption patterns

Familiarity with SAP ERP analytics integration (S/4HANA or ECC), including source system processes and analytical data extraction, is a strong asset

Experience with BI and visualization tools such as Power BI or Tableau is a plus

Strong ability to operate in a fast‑paced, evolving environment, balancing priorities while maintaining architectural rigor

Keen sense of maturity, judgment and diligence required to:

Secure company’s financial interests

Avoid exposures to expensive delays and cost overruns

Ability to cope with stress and continuously changing demands/priorities

Willingness to learn new skills/techniques/processes

Qualifications/Background Experiences

Bachelor’s Degree in Computer Science, Information Technology, or related fields, or combination of equivalent experience

10 years of experience designing and delivering enterprise data and analytics platforms

Proven experience architecting cloud-based data platforms, including Lakehouse and cloud data warehouse solutions

Experience with modern cloud data platforms such as Azure Databricks

Strong experience with Azure data services (experience with Microsoft Fabric is a plus)

Demonstrated experience modernizing or migrating legacy Enterprise Data Warehouses to cloud platforms

Experience supporting analytics and reporting for ERP systems (SAP preferred; Oracle, JD Edwards, or similar acceptable)

Track record of delivering large, complex BI and analytics initiatives at enterprise scale

Experience in the medical devices, life sciences, or pharmaceutical industries is a strong plus

Worksite address

somerset, NJ, 08875, US

Who can apply

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