Data Architect in Austin

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Job Summary

We are seeking an experienced Data Architect to design and implement a modern enterprise data architecture for a capital project and program management environment. This role is focused on transforming highly fragmented and largely unstructured data into a scalable, governed, and analytics-ready data ecosystem that supports strategic decision-making across large construction programs.

The organization is undergoing a data modernization initiative, with data currently dispersed across multiple systems and unstructured repositories such as project documentation, bid reviews, schedules, and legacy platforms. A key focus of this role is to define and implement a unified data architecture that brings structure, governance, and usability to this environment.

The ideal candidate is both strategic and hands-on, capable of assessing the current-state data landscape, defining a future-state architecture, and guiding implementation of a modern data platform that enables reporting, analytics, and AI-driven insights.

Why This Role?

This is a high-impact opportunity to build a data function and architecture from the ground up within a rapidly growing, project-driven organization. The environment is evolving quickly, with increasing emphasis on data-driven decision-making, operational transparency, and modernization of legacy systems.

You will have the opportunity to shape the data strategy, introduce modern architecture patterns, and directly influence how large-scale capital programs are managed and reported. This is an ideal role for someone who enjoys solving complex, unstructured data challenges and building scalable systems in a greenfield or early-stage data environment.

Key Responsibilities

• Design and implement a modern Medallion Architecture (Bronze, Silver, Gold) to structure and govern enterprise data
• Architect scalable data solutions within a Microsoft-centric ecosystem, leveraging modern cloud data platforms
• Build and maintain data lakes, data warehouses, and ETL/ELT pipelines
• Develop data models that unify structured (project, financial, scheduling) and unstructured (documents, reports, communications) data
• Establish data governance, quality, metadata, and lifecycle management standards
• Transform unstructured data into structured, analytics-ready insights using AI and automation techniques
• Partner with business stakeholders to define reporting and analytics requirements and translate them into scalable solutions
• Assess the current data landscape and define a roadmap for future-state architecture and modernization
• Collaborate with internal leadership and external technology partners to align on architecture and implementation strategy
• Enable a single source of truth for capital program data to support forecasting, risk management, and performance tracking
• Support the integration of data from multiple enterprise and project management systems into a unified platform

Required Qualifications

• 8+ years of experience in data architecture, data engineering, or related enterprise data roles
• Strong experience designing and implementing modern cloud-based data platforms
• Hands-on experience with Medallion Architecture (Bronze, Silver, Gold)
• Expertise in data warehousing, data lakes, and ETL/ELT pipeline development
• Strong experience with data governance, data quality, and metadata management
• Experience working with both structured and unstructured data sources
• Proficiency in SQL and at least one programming such as Python
  
• Experience designing semantic or analytical data models for reporting and BI tools
• Strong ability to translate technical architecture into business value and outcomes
• Excellent communication and stakeholder management skills
  

Skills and Experience

• Experience with Microsoft data technologies (e.g., Microsoft Fabric, Synapse, Azure Data Lake, or equivalent platforms)
  
• Experience working in project-based industries such as construction, engineering, real estate development, or professional services
  
• Familiarity with enterprise project management or ERP systems
  
• Experience leveraging AI/ML concepts for data extraction, transformation, or enrichment
  
• Understanding of modern data integration patterns and API-based data ingestion
  
• Experience working in environments with outsourced or limited internal IT infrastructure
  
• Background in building data strategy or roadmap from early-stage or fragmented environments

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.