Job Description

We are seeking an experienced Data Platform Architect to lead, manage, and scale enterprise data platforms. This role owns the reliability, scalability, security, and governance of data platforms built on Databricks and Azure, while leading cross‑functional engineering teams and partnering closely with business, security, and compliance stakeholders.

Key Responsibilities

Own and oversee enterprise data platforms (Databricks, Azure Data Lake, Synapse, Azure SQL, Azure DevOps)

Define platform architecture standards, best practices, and technology roadmaps

Drive platform scalability, cost efficiency, performance, and operational reliability

Lead platform modernization initiatives, including cloud migration and consolidation

Manage, mentor, and develop data engineering and platform teams

Drive talent development, performance management, and succession planning

Foster a collaborative, accountable, high‑performing engineering culture

Ensure compliance with SOX IT controls and audit requirements

Partner with Audit, Security, and Compliance to design, maintain, and evidence controls

Support audit activities through documentation, evidence, remediation, and follow‑up

Own and enforce data governance, access management, and data quality standards

Lead Change Management for platform releases, upgrades, and incidents

Establish and enforce ITIL‑aligned operational processes

Own SLAs, KPIs, and platform operational metrics to drive operational excellence

Translate business requirements into scalable platform capabilities and delivery plans

Collaborate with enterprise architecture, analytics, product, and business leaders

Manage vendors and strategic data platform partnerships

Contribute to the organization's long‑term data and analytics strategy

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

10+ years of progressive experience in data platforms, data engineering, or enterprise data management

Hands‑on, current experience with Databricks and Azure data platforms (Azure Data Lake, Synapse, Azure SQL)

Proven people management experience leading and scaling data/platform engineering teams

Strong background in SOX IT controls, audit support, and internal control frameworks

Experience with Change Management and ITIL‑aligned processes (Change, Incident, Problem Management)

Strong understanding of enterprise data governance, access controls, and data quality standards

Bachelor's degree required

Strong analytical, problem‑solving, verbal, and written communication skills

Demonstrated leadership ability and experience building high‑performing engineering teams 7+ years of data processing, systems analysis/design, and operations experience

Experience with cloud modernization, platform consolidation, and large‑scale migrations

Project management experience delivering large, complex, enterprise initiatives

Experience partnering with Audit, Security, and Compliance teams in regulated environments

Vendor management and strategic technology partnership experience

Contribution to long‑term enterprise data and analytics strategy