Senior Data Architect – AI-Driven Azure Platform

Ensemble Health Partners; United States; Remoto; USD 149.000 - 223.000; Tempo pieno

Vantaggi offerti da questo lavoro

Tuition reimbursement

Healthcare benefits

Professional certification support

Remote work

Descrizione del lavoro

Ensemble Health Partners is seeking a Principal Data Engineer to serve as the senior technical authority on data architecture, driving scalable Azure Databricks platforms and AI-enabled data products across the organization.

You will own the data engineering technology roadmap, establish standards, and collaborate with data science, analytics, product, and cloud teams to ensure secure, cost-efficient, and observable data platforms that power trusted insights and AI use cases.

Competenze

• Deep experience designing enterprise-scale data models and transformations.
• Strong understanding of data governance, security, and cost optimization.
• Proven ability to lead architecture decisions without formal authority.
• Experience with Databricks, Spark, and cloud data platforms.
• Excellent communication to technical and executive audiences.

Mansioni

• Conduct cross-organizational assessments of data pipelines and platforms to identify inefficiencies and risks.
• Architect scalable, secure data solutions on Databricks and Azure across teams.
• Serve as technical escalation point for tier-1 data engineering issues.
• Define and evolve data engineering standards and guardrails across engineering teams.
• Establish AI-ready data standards, data quality, lineage, and observability.

Conoscenze

Data architecture

Azure

Databricks

SQL

Cloud architecture

Strumenti

Databricks

Azure

SQL

Big data

Descrizione del lavoro

Ensemble Health Partners is seeking a Principal Data Engineer to serve as the senior technical authority on data architecture, driving scalable Azure Databricks platforms and AI-enabled data products across the organization.

You will own the data engineering technology roadmap, establish standards, and collaborate with data science, analytics, product, and cloud teams to ensure secure, cost-efficient, and observable data platforms that power trusted insights and AI use cases.