Cloud Data Architect

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.

• 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.

• 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.

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

• 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

• 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.

• 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.

• 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…