Director of Enterprise Data Architecture & Modernization

Clinisys; Carmel (ME); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401(k) Plan

Stock incentives

Paid time off

Parental leave

Tuition assistance

Job summary

Clinisys in the United States seeks a Director, Enterprise Data Architecture to lead the design, governance, and modernization of data platforms and capabilities driving the company’s digital transformation.

You will partner with Product, Engineering, AI, Cyber Security and business functions to deliver integrated data capabilities that improve data quality, accessibility and decision-making outcomes across the organization.

Qualifications

• Proven experience leading enterprise data transformation with measurable business impact.
• Deep experience with cloud data platforms (Snowflake, Databricks, MS Fabric) including lakehouse, warehouse, ETL/ELT, and streaming architectures.
• Strong data governance, quality, metadata, lineage, and security practices.
• Ability to translate complex data concepts into business outcomes and decisions.
• Excellent leadership and cross-functional collaboration.

Responsibilities

• Lead enterprise data architecture and transformation initiatives aligned to business strategy.
• Own the enterprise data roadmap including governance, modernization, and platform evolution.
• Influence cross-functional leaders to align priorities and accelerate data-driven transformation.
• Drive standardization and reuse of data architecture patterns across the enterprise.

Skills

Data transformation leadership

Cloud data platforms

Data governance

KPIs & performance

Leadership & influence

Business outcomes translation

Education

Bachelor’s degree in Computer Science / Data Systems / Engineering

Tools

Snowflake

Databricks

MS Fabric

Job description

Clinisys in the United States seeks a Director, Enterprise Data Architecture to lead the design, governance, and modernization of data platforms and capabilities driving the company’s digital transformation.

You will partner with Product, Engineering, AI, Cyber Security and business functions to deliver integrated data capabilities that improve data quality, accessibility and decision-making outcomes across the organization.