Enterprise Data Architect (Data Platforms, Integration & AI Enablement)

Location: Initial hybrid and then mostly remote/travel for major milestones
Employment Type: Contract

Overview

We are seeking a highly experienced Enterprise Data Architect to define and lead the long-term data architecture strategy for a rapidly growing organization. This individual will be responsible for creating the enterprise data foundation that supports operational reporting, analytics, AI, digital transformation, and future data-driven initiatives across the business.

This role goes beyond traditional data warehousing or business intelligence. The ideal candidate will architect and establish a scalable, modern, cloud-based data ecosystem that integrates enterprise applications, project systems, operational platforms, and future industrial data sources into a single governed architecture.

The successful candidate will combine strategic vision with hands-on technical expertise, helping shape the organization's data future while providing architectural leadership across internal teams and external partners.

What You'll Do

Enterprise Data Strategy & Architecture

• Define and own the enterprise data architecture vision, roadmap, standards, and governance framework.
• Establish a scalable future-state architecture supporting analytics, operational intelligence, AI, and enterprise reporting.
• Create reference architectures, standards, and best practices for enterprise data management.
• Ensure a single source of truth across business functions and eliminate data silos and redundant platforms.
• Serve as the organization's primary authority for enterprise data architecture decisions.

Modern Data Platform Leadership

• Design and build a cloud-based enterprise data platform capable of integrating data across business, operational, project, and future industrial systems.
• Develop solutions leveraging technologies such as:
  • Databricks
  • Snowflake
  • Microsoft Fabric
  • Azure Data Services
  • Data Lake, Data Warehouse, and Lakehouse architectures
• Establish scalable data ingestion, orchestration, transformation, and storage strategies.
• Ensure architecture remains vendor-agnostic and adaptable to future technologies.

Integration & Data Engineering Architecture

• Define enterprise integration standards and architecture patterns.
• Lead development of API-first and event-driven integration frameworks.
• Establish scalable ETL/ELT, streaming, orchestration, and data movement strategies.
• Prevent proliferation of point-to-point integrations and disconnected reporting environments.
• Drive enterprise-wide standards for interoperability between platforms and applications.

Data Governance & Information Management

• Establish enterprise data governance programs and operating models.
• Define ownership, stewardship, lineage, metadata management, and data quality standards.
• Create and maintain master data and reference data strategies.
• Ensure authoritative data sources and governance processes are consistently adopted across the organization.
• Partner with business and technology leaders to improve data reliability and trust.

AI & Advanced Analytics Enablement

• Build the foundation for next-generation AI, analytics, and digital capabilities.
• Design AI-ready architectures supporting:
  • Machine Learning
  • Generative AI
  • Retrieval-Augmented Generation (RAG)
  • Vector-based architectures
  • Unstructured data management
  • Enterprise knowledge systems
• Support development of secure agentic AI environments by enabling governed data products, semantic layers, APIs, and enterprise knowledge access.
• Establish responsible AI data architecture practices and governance controls.

Security, Risk & Compliance

• Partner closely with Cybersecurity, Legal, Compliance, and Technology teams.
• Define standards for:
  • Data security
  • Access governance
  • Privacy controls
  • Data retention
  • Regulatory compliance
  • Responsible AI usage
• Ensure enterprise architecture aligns with security and risk-management requirements.

Technical Leadership

• Provide architectural leadership for enterprise initiatives and strategic programs.
• Guide implementation teams, system integrators, and technology partners.
• Evaluate platforms, technologies, and architectural approaches.
• Maintain organizational ownership of data models, integration standards, governance frameworks, and long-term platform direction.
• Remain hands-on enough to prototype solutions, troubleshoot issues, and provide technical oversight when necessary.

Required Qualifications

• 10+ years of progressive experience in data architecture, enterprise architecture, data engineering, or platform architecture.
• Experience designing and implementing enterprise-scale data platforms.
• Strong expertise with modern cloud data technologies such as Databricks, Snowflake, Microsoft Fabric, Azure Data Services, or similar platforms.
• Extensive experience with:
  • Data Lakes
  • Lakehouse Architectures
  • Data Warehouses
  • ETL/ELT Frameworks
  • APIs
  • Event-Driven Architectures
  • Enterprise Integration Patterns
• Proven success establishing enterprise data governance frameworks.
• Strong understanding of metadata management, lineage, master data, and data quality disciplines.
• Experience building scalable data platforms from greenfield or lower-maturity environments.
• Ability to balance strategic architecture leadership with hands-on technical execution.
• Strong communication skills with the ability to influence executives, technical teams, and business stakeholders.

Preferred Qualifications

• Experience integrating ERP, financial, operational, construction, or project-control platforms.
• Exposure to Oracle Fusion, Oracle Unifier, Primavera, or similar enterprise platforms.
• Experience in energy, utilities, industrial operations, construction, critical infrastructure, or operational technology environments.
• Knowledge of industrial, telemetry, IoT, SCADA, or OT data architectures.
• Experience enabling AI and advanced analytics initiatives at enterprise scale.
• Background supporting digital transformation and enterprise modernization programs.
• Experience managing system integrators, consulting partners, and technology vendors.

Ideal Candidate Profile

You may currently be working as a:

• Enterprise Data Architect
• Principal Data Architect
• Chief Data Architect
• Director of Data Architecture
• Enterprise Architect (Data Focus)
• Head of Data Platforms
• Lead Data & AI Architect
• Data Platform Architect

You bring a combination of enterprise architecture leadership, modern data platform expertise, strong integration experience, and a passion for building the foundational capabilities that power analytics, AI, and future business growth.

Keywords

Enterprise Data Architecture • Data Platforms • Databricks • Snowflake • Microsoft Fabric • Azure Data Services • Data Governance • Data Engineering • Integration Architecture • Lakehouse • Data Warehouse • Data Lake • APIs • Event Driven Architecture • AI Architecture • GenAI • RAG • Vector Databases • Enterprise Architecture • Oracle Fusion • Unifier • Primavera • OT Data • Industrial Data • Energy • Utilities • Critical Infrastructure • Digital Transformation

Apply now