Remote Cloud Data Architect: Azure & GCP Platform Lead

CitiusTech; Minneapolis (MN); On-site; USD 150,000 - 210,000; Full time

Job summary

CitiusTech is seeking a senior Data Architect to lead the architecture, design, and modernization of enterprise-scale cloud data platforms on Azure and GCP. You will define target-state architectures, data governance, and implementation roadmaps for healthcare analytics solutions, working with stakeholders across the organization.

Ideal candidates have deep expertise in data modeling, data warehousing, ETL/ELT, and data governance, plus a proven ability to drive architecture reviews and set

Qualifications

• 12+ years of experience in Data Architecture, Data Engineering, and Cloud Data Platforms.
• Experience with Databricks, BigQuery, ADLS, Synapse, Data Lakehouse architectures.
• Strong Data Modeling, Data Warehousing, ETL/ELT, and Data Governance experience.
• Strong architecture and stakeholder management skills.

Responsibilities

• Define enterprise data architecture, cloud data platform strategy, and target-state solutions.
• Design scalable Data Lake, Lakehouse, Data Warehouse, and Analytics architectures on Azure and GCP.
• Lead data modeling, governance, metadata, lineage, security, and observability initiatives.
• Drive architecture reviews, technology selection, solution design, and implementation standards.
• Collaborate with business stakeholders, architects, engineering teams, and leadership.
• Support roadmap planning, estimation, risk management, and technical governance.

Skills

Databricks

BigQuery

ADLS

Synapse

Data Lakehouse

Data Modeling

Data Warehousing

ETL/ELT

Data Governance

Stakeholder Management

Cloud Architecture

Tools

Snowflake

Microsoft Fabric

Unity Catalog

Job description

CitiusTech is seeking a senior Data Architect to lead the architecture, design, and modernization of enterprise-scale cloud data platforms on Azure and GCP. You will define target-state architectures, data governance, and implementation roadmaps for healthcare analytics solutions, working with stakeholders across the organization.

Ideal candidates have deep expertise in data modeling, data warehousing, ETL/ELT, and data governance, plus a proven ability to drive architecture reviews and set