Data Architect - Analytics

Compunnel, Inc.; Atlanta (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading data solutions firm is seeking a Data Architect to modernize data processes and standardize workflows across regions. In this role, you will partner with global teams to implement scalable solutions in Azure, drive alignment on data definitions, and support multi-year transformation initiatives. The ideal candidate has over 12 years of experience in Azure and Databricks, alongside proven leadership skills. This position offers a chance to lead transformation efforts and enhance data architectures.

Qualifications

• 12+ years of experience with Azure.
• 12+ years of experience with Databricks.
• 12+ years of experience in data modeling.
• Demonstrated experience in team leadership.
• Experience conducting client interviews and stakeholder discussions.

Responsibilities

• Engage with business users across North America and Europe through workshops and data discovery sessions.
• Drive alignment on business rules, data definitions, and data sources across regions with differing processes.
• Serve as an architectural thought leader, guiding teams from manual processes to standardized, modernized workflows.
• Collaborate closely with business analysts, data analysts, product owners, and engineering teams across geographies.
• Lead the re-architecture of compensation data processing, including internal and external data flows, into a scalable Azure environment.
• Define architectural patterns, frameworks, and integration strategies across Azure services.
• Evaluate and improve rules engine usage to externalize business logic.
• Guide decisions to shift logic and data ownership into enterprise-owned systems.
• Analyze current-state processes and identify opportunities for re-engineering, automation, and consolidation.
• Assess and rationalize upstream and downstream file integrations.
• Support a multi-year transformation roadmap with multiple Scrum teams delivering high-accuracy systems.
• Lead design of impact analysis capabilities.

Skills

Azure

Databricks

Data modeling

Team leadership

Stakeholder engagement

Job description

The Data Architect – Analytics will serve as the architectural lead responsible for modernizing data processes and enabling standardized workflows across multiple regions.

This role involves partnering with global business and technical teams to define business rules, redesign compensation-related data architectures, and implement scalable, cloud-native solutions in Azure.

T he Data Architect will support multi-year transformation initiatives and ensure the integrity, auditability, and extensibility of analytical and compensation workflows.

Key Responsibilities

• Engage with business users across North America and Europe through workshops and data discovery sessions.
• Drive alignment on business rules, data definitions, and data sources across regions with differing processes.
• Serve as an architectural thought leader, guiding teams from manual processes to standardized, modernized workflows.
• Collaborate closely with business analysts, data analysts, product owners, and engineering teams across geographies.
• Lead the re-architecture of compensation data processing, including internal and external data flows, into a scalable Azure environment.
• Define architectural patterns, frameworks, and integration strategies across Azure services such as Data Factory, Databricks, Data Lake, and SQL.
• Evaluate and improve rules engine usage to externalize business logic formerly embedded in application code.
• Guide decisions to shift logic and data ownership into enterprise-owned systems.
• Analyze current-state processes and identify opportunities for re-engineering, automation, and consolidation.
• Assess and rationalize upstream and downstream file integrations to support modern orchestration and MDM strategies.
• Support a multi-year transformation roadmap with multiple Scrum teams delivering high-accuracy systems.
• Lead design of impact analysis capabilities to help the business understand how organizational or portfolio changes affect compensation outcomes.
• Ensure architectures support extensibility, auditability, and traceability.

Required Qualifications

• 12+ years of experience with Azure.
• 12+ years of experience with Databricks.
• 12+ years of experience in data modeling.
• Demonstrated experience in team leadership.
• Experience conducting client interviews and stakeholder discussions.