Cloud Data Architect

Terumo Medical Corporation; New Jersey; On-site; USD 140,000 - 210,000; Full time

Job summary

Terumo Medical Corporation is seeking a senior Cloud Data Architect to design and govern enterprise cloud data platforms, including data lakes and data warehouses, to support reporting, analytics, and advanced use cases. You will own the data architecture strategy for analytics modernization and lead end-to-end delivery with a focus on scalable, secure solutions.

You will partner with IT leadership, business stakeholders, and analytics teams to standardize an analytics ecosystem across entities,

Qualifications

• Bachelor’s Degree in Computer Science or related field, or equivalent experience.
• 10+ years designing and delivering enterprise data and analytics platforms.
• Experience architecting cloud-based data platforms (Lakehouse and cloud data warehouse).
• Experience with Azure Databricks and Delta Lake.
• Strong experience with Azure data services; Microsoft Fabric is a plus.
• Experience modernizing or migrating legacy EDWs to cloud platforms.
• Experience supporting analytics and reporting for ERP systems (SAP preferred).
• Proven track record delivering large, complex BI and analytics initiatives.
• Experience in medical devices, life sciences, or pharmaceutical industries is a strong plus.

Responsibilities

• Architect enterprise cloud data platforms across BI/EDW, analytics, and AI/ML, including Databricks Lakehouse, Delta Lake, and Medallion patterns.
• Lead data architecture strategy for analytics modernization and define scalable, secure cloud data solutions.
• Define target-state migration strategies and phased migration of EDWs to cloud patterns.
• Provide architectural leadership for Databricks platform administration, CI/CD, performance optimization, and cost management.
• Partner with IT leadership, stakeholders, and analytics teams to enable a standardized analytics ecosystem.
• Establish data governance, security, quality, and compliance across platforms.
• Lead day-to-day technical direction for a data engineering team and vendor partners.
• Enable AI/ML capabilities and secure, governed data access with strong metadata and lineage.

Skills

Cloud data architecture

Azure Databricks

Delta Lake

SQL

Python

PySpark

Spark SQL

Data governance

Security

BI/EDW analytics

Communication

ERP analytics (SAP)

Tableau

Power BI

Data modernization

Education

Bachelor’s Degree in Computer Science/IT or related fields

10 years of experience in enterprise data/analytics platforms

Experience architecting cloud-based data platforms (Lakehouse and cloud data warehouse)

Azure Databricks experience

Azure data services experience; Microsoft Fabric a plus

Experience migrating legacy EDWs to cloud platforms

ERP analytics experience (SAP preferred)

Tools

Azure Databricks

Delta Lake

Power BI

Tableau

S/4HANA

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.

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.

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:
• 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