Lead Data Platform & Integration Engineering Consultant

Ports North; Dallas (TX); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Ports North in Dallas, TX is seeking an Interim Principal Data & Integration Architect to lead the design, development, and implementation of the enterprise data platform and integration strategy.

This hands-on leader will own the data platform roadmap, drive lakehouse and data warehouse initiatives, establish governance, and build scalable APIs and ETL/ELT pipelines across the business.

Qualifications

• Proven enterprise data architecture and strategy experience.
• Hands-on with Microsoft data tech, Databricks, API architecture, and cloud data platforms.
• Experience with data warehouses, lakehouses, ETL/ELT, and data pipelines.
• Experience governance: data quality, lineage, ownership, MDMs.
• Proven ability to lead data platform transformations in growth orgs.
• Experience in energy/construction or capital-intensive industries preferred.

Responsibilities

• Own the build-out of the enterprise data platform and integration architecture.
• Establish enterprise data architecture across systems.
• Design modern cloud-based data platforms including lakehouse and data warehouse.
• Develop scalable integration frameworks using APIs, ETL/ELT, and pipelines.
• Establish data governance including ownership, quality, lineage, and master data.
• Create a unified enterprise data strategy to remove silos.
• Build foundation for enterprise reporting, analytics, and AI/ML capabilities.
• Evaluate and recommend data platforms, tools, and technologies.
• Partner with leaders to set data standards and drive adoption.

Skills

Data architecture

Databricks

API architecture

Cloud data platforms

ETL/ELT

Data governance

Data quality

Leadership

Enterprise reporting

Tools

Azure

Job description

Interim Principal Data & Integration Architect

Location: Dallas, TX (Hybrid, 3 days onsite)
Duration: 6+ Month Contract

Position Overview

Our client is seeking an Interim Principal Data & Integration Architect to lead the design, development, and implementation of the organization\'s enterprise data platform and integration strategy. This individual will be responsible for building scalable data capabilities that support enterprise reporting, analytics, operational intelligence, and future AI initiatives.

The ideal candidate is a hands‑on technical leader with deep expertise in Microsoft technologies, Databricks, APIs, and modern cloud data architecture. This person will own the enterprise data platform roadmap and execution, helping transform a growing organization from a fragmented data environment into a disciplined, scalable enterprise platform.

Key Responsibilities

• Own and lead the build-out of the enterprise data platform and integration architecture.


• Establish enterprise data architecture across Oracle, Unifier, construction systems, finance, operations, and future business applications.


• Design and implement modern cloud-based data platforms, including lakehouse and data warehouse solutions.


• Develop scalable integration frameworks leveraging APIs, ETL/ELT processes, and enterprise data pipelines.


• Establish data governance, including data ownership, data quality, lineage, master data, and authoritative sources of truth.


• Create a unified enterprise data strategy that eliminates siloed data environments and duplicate sources of truth.


• Build the foundation for enterprise reporting, analytics, operational intelligence, and future AI/ML capabilities.


• Evaluate and recommend data platforms, integration tools, and technologies based on business needs and long-term scalability.


• Partner with business and technology leaders to establish data standards and drive enterprise adoption.

Required Experience

• Proven experience establishing enterprise data architecture and enterprise data strategy.


• Strong expertise with Microsoft data technologies, Databricks, API architecture, and cloud-based data platforms.


• Deep experience with data warehouses, lakehouses, ETL/ELT processes, integration platforms, and data pipeline architecture.


• Hands‑on experience implementing enterprise data governance, including data quality, ownership, lineage, and master data management.


• Experience building enterprise reporting and analytics capabilities from the ground up.


• Demonstrated success evaluating and selecting data platforms, integration tools, and technologies.


• Track record of owning and leading enterprise data platform transformations within growing organizations.


• Experience maturing startup, high-growth, or smaller organizations into scalable, disciplined operating environments.


• Experience in energy, construction, industrial infrastructure, data centers, or other capital-intensive industries strongly preferred.


• Strong integration engineering and platform architecture background; candidates focused primarily on BI/report development are less likely to be a fit.


• Experience building enterprise data capabilities from an immature starting point into a scalable enterprise platform strongly preferred.