Data Architect

Ulteig•,

23h•$126,400 - $164,300

About The Position

The Data Architect defines and advances Ulteig’s enterprise data architecture, ensuring data is structured, integrated, accessible, secure, scalable, and aligned with business, data governance, and technology strategies. The role turns Ulteig’s data strategy into executable architecture by connecting business priorities, governed data domains, Microsoft Fabric platform patterns, and practical delivery standards. It serves as a technical bridge between business requirements, governance decisions, and implementation teams, ensuring platform design, data models, lineage, semantic layers, and integration patterns support phased modernization. The Data Architect partners with the Enterprise Data Leader, Data Governance Lead, Data Analysts, Business Data Owners, Data Stewards, Enterprise Architecture, digital and technology teams, and business leaders to translate business and governance requirements into sustainable technical solutions and enterprise standards. The role leads the phased technical implementation of Microsoft Fabric and defines enterprise architecture, target-state data ecosystem, reference architectures, roadmaps, standards, and reusable patterns. It also translates governance policies and business expectations into technical requirements; supports data lineage, cataloging, classification, and governance capabilities using Microsoft Purview; and provides technical expertise to the Data Governance Council. Ulteig describes itself as a purpose-driven organization focused on its clients and employees, with a culture of flexibility, connection, collaboration, innovation, and employee investment. Employees may work remotely, hybrid, or in the office and are supported in building a flexible workday and schedule. The position’s target base compensation range is $126,400–$164,300, with actual pay depending on factors including job-specific skills, education, training, location, and relevant experience.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
7+ years of experience in data architecture, data engineering, enterprise architecture, or related disciplines.
Demonstrated experience designing enterprise data architectures, data models, integration patterns, and cloud data platforms.
Strong knowledge of relational and analytical modeling, APIs, ETL/ELT, data pipelines, data warehouses, data lakes, metadata, lineage, cataloging, and data governance concepts.
Experience with Microsoft Fabric and Microsoft Purview is required; experience with Microsoft SQL Server or Azure data services alone is not sufficient.
Experience designing in modern medallion architecture, particularly in Fabric, is required.
Strong communication, stakeholder management, and influencing skills, including the ability to translate business requirements into scalable technical architecture.
Openness to innovation and ability to embrace and apply evolving technology and AI tools to enhance workflows, solve problems, and drive continuous improvement.
Authorization to work permanently in the United States.
Strong interpersonal skills and ability to work effectively in a dynamic team environment, with a teach, lead, and do mentality.
Strong analytical thinking, attention to detail, and communication skills to explain findings to non-technical stakeholders.
Strong problem-solving aptitude and ability to communicate computational design opportunities and value, collaborate effectively, and maintain alignment with project and client goals.
Ability to complete tasks within allotted time.
Proven ability to manage and deliver complex automation scripts and integrated solutions with minimal supervision.
Ability to drive architectural standards and enterprise consistency through influence rather than direct authority.
Ability to understand complex relationships across business processes, systems, data domains, and enterprise architecture.

Nice To Haves

Experience with D365 Finance & Operations, CRM, Planview, ERP, project management, finance, or other complex enterprise business systems.

Responsibilities

Lead the phased technical implementation of Microsoft Fabric, designing for enterprise use while delivering incremental value.
Define and maintain enterprise data architecture, the target-state data ecosystem, reference architectures, and a roadmap that supports reporting and analytics rewrites, future business requirements, self-service, and scaled AI enablement.
Establish architectural principles, standards, and reusable patterns for structuring, storing, integrating, accessing, securing, and managing enterprise data.
Develop and maintain conceptual, logical, and physical data models, including relationships across business data domains, systems, applications, and data platforms.
Ensure data architecture supports business strategy, enterprise processes, analytics, reporting, governance requirements, and future scalability.
Evaluate architectural impacts of new systems, integrations, major initiatives, and changes to data structures or platforms.
Define technical data standards for naming conventions, data types, keys, relationships, structures, and other architectural components.
Provide architectural leadership for Microsoft Fabric, including ingestion, transformation, storage, semantic models, analytical workloads, and integration with enterprise business systems.
Partner with Data Engineering and IT to ensure data platform architecture is scalable, secure, maintainable, and aligned with enterprise standards.
Define the technical approach for enterprise data lineage, traceability, and impact analysis from source systems through reporting and analytical outputs.
Translate governance policies, business definitions, ownership expectations, classification standards, lineage requirements, and data quality needs into technical requirements and architecture patterns.
Define architectural requirements and integration patterns supporting metadata management, data cataloging, lineage, classification, and governance capabilities within Microsoft Purview.
Provide technical expertise to the Data Governance Council and identify technical constraints, opportunities, and dependencies associated with governance decisions.
Collaborate with business leaders, Business Data Owners, Data Stewards, analysts, developers, engineers, integration teams, and technology leaders.
Mentor engineers, analysts, and technical teams while promoting architecture standards and best practices.