Remote Data Architect for Healthcare Analytics & Platforms

Infinite Computer Solutions; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Infinite Computer Solutions seeks an experienced Data Architect to partner with the Data Team Lead in shaping enterprise data solutions. This role provides architecture leadership, guidance, and oversight across data platform initiatives.

You will design scalable data warehouses and data lakes, ensure security and governance, collaborate with engineering, analytics, and business teams, and mentor technical colleagues.

Qualifications

• 8-10+ years IT experience with 5+ years in Data Architecture or related leadership roles.
• Strong expertise in data modeling, data integration, cloud data platforms, and analytics architectures.
• Experience with AWS, Snowflake or GCP data ecosystems.
• Knowledge of modern platforms such as Databricks, Snowflake, Synapse, Microsoft Fabric, or similar technologies.

Responsibilities

• Define and review data architecture standards, patterns, and best practices.
• Provide solution architecture, technical advisory, and design review support for data initiatives.
• Guide the design and evolution of modern data platforms, including data warehouses, data lakes/lake houses, and analytics solutions.
• Collaborate with engineering, analytics, governance, and business teams to drive architectural alignment.
• Ensure solutions are scalable, secure, reliable, and aligned with enterprise standards.
• Mentor technical teams and promote architecture governance and best practices.

Skills

Data modeling

Data integration

Cloud data platforms

Analytics architectures

Communication

Stakeholder management

Influencing skills

Tools

AWS

Snowflake

GCP

Databricks

Synapse

Microsoft Fabric

Job description

Infinite Computer Solutions seeks an experienced Data Architect to partner with the Data Team Lead in shaping enterprise data solutions. This role provides architecture leadership, guidance, and oversight across data platform initiatives.

You will design scalable data warehouses and data lakes, ensure security and governance, collaborate with engineering, analytics, and business teams, and mentor technical colleagues.