Data Architect

Morris Technology SolutionsAustin, TX

About The Position

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.

Requirements

  • 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 language 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

Nice To Haves

  • 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

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

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

1-10 employees

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